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At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. The Mission Make general-purpose robots a reality via large-scale embodied AI. The Challenge We envision a future where robots assist with household chores and cooking, aid the elderly in maintaining their independence, and enable people to spend more time on the activities they enjoy most. To achieve this, robots need to be able to operate reliably in messy, unstructured environments. Our mission is to answer the question, "What will it take to create truly general-purpose robots that can accomplish a wide variety of tasks in settings like human homes with minimal human supervision?". To answer this, we are gathering large datasets of physical interaction from a variety of sources (including robots and people) and training large generative foundation models on this physical interaction data along with language, video, audio, and other rich modalities. The Team Our goal is to revolutionize the field of robotic manipulation, enabling long-horizon dexterous behaviors to be efficiently taught, learned, and improved over time in diverse, real-world environments. Our team has deep cross-functional expertise across simulation, perception, controls, language, vision, multimodal learning, and generative modeling. Success is measured by the advancement of robot capabilities and we're strong believers in open research. Our north star is fundamental technological advancement in building robots which can flexibly perform a wide variety of tasks in diverse environments with minimal human supervision. Come join us, and let's make general-purpose robots a reality. We operate a fleet of robots, and robot-embodied teaching and deployment are key parts of our strategy. Some of our previous work is highlighted here. The Opportunity We're looking for a driven machine learning engineer comfortable working on large integrated machine learning systems. Experience with robots or other embodied systems (such as autonomous vehicles) is a bonus. If our mission of revolutionizing robotics through machine learning resonates with you, get in touch and let's talk about how we can create the next generation of AI-powered capable robots, together. Responsibilities Collaborate with internal research scientists and our partner labs at top academic research universities, including MIT, Stanford, Berkeley, CMU, Columbia, and Princeton, to drive pioneering research at scale. Build, improve, and robustify end-to-end integrated ML pipelines for training multimodal (language, images, video, actions) models at scale. Train, finetune, and serve robot foundation models with a strong MLOps mindset. Build processes for integrating collaboration-produced and open-source advancements and code into our internal stack. Build and improve large data pipelines for foundation model training. Be a key member of the team and play a critical role in rapid progress measured by both the development of internal capabilities and high-impact external publications. Qualifications 4+ years of professional ML engineering experience at an AI/ML-focused organization. Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision. Experience training large-scale foundation models (VLMs, text-to-video models, etc) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP. Extensive practical experience with PyTorch. Strong proficiency in Python and software development best practices such as unit testing, documentation, code review, continuous integration, and dependency management. Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management. An ability to move fast and switch between modes of rapid prototyping and robust implementation as required. Bonus Qualifications Experience deploying models on embodied systems/robots. Experience working in mixed teams of research scientists and engineers. Experience with Amazon EC2, S3, and/or Sagemaker. Experience with Bazel. The pay range for this position at commencement of employment is expected to be between $165,760 and $248,640/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together, with a particular emphasis on larger, more capable unmanned aerial vehicles. Our team specializes in integrating advanced perception and autonomy algorithms into complex aerial platforms, pushing the boundaries of what's possible in autonomous flight and mission execution. We develop cutting-edge Computer Vision and Autonomy algorithms to solve some of the hardest problems facing our customers, particularly in challenging and dynamic environments where robust perception is critical. ABOUT THE JOB We are seeking an experienced Computer Vision Engineer with a strong background in robotics to join our rapidly growing team in Costa Mesa, CA. In this role, you will be at the forefront of developing advanced perception systems for complex autonomous aerial platforms. Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM, motion planning, controls, and state estimation. This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms. Your work will directly contribute to the seamless integration of Anduril's products, achieving critical outcomes in autonomous operations. This position demands strong systems-level knowledge and experience, as you'll be working on the intersection of computer vision, robotics, and autonomous systems. If you are passionate about pushing the boundaries of computer vision in robotics, possess a "Whatever It Takes" mindset, and can execute in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions, then this role is for you. WHAT YOU'LL DO Work at the intersection of 3D perception and computer vision, developing robust algorithms that power real-time decision-making for autonomous aerial systems. Develop and implement advanced structure from motion and SLAM algorithms to create accurate 3D models from multiple camera inputs in real-time. Integrate perception outputs with path planning algorithms to enable autonomous navigation in complex, unstructured environments Design experiments, data collection efforts, and curate training/evaluation sets to develop insights for both internal purposes and customers. Collaborate closely with robotics, software, and hardware teams to integrate perception algorithms into autonomous aerial systems. Work with vendors and government stakeholders to advance the state-of-the-art in perception and world modeling for autonomous aerial systems. REQUIRED QUALIFICATIONS BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field. Strong knowledge of 3D computer vision concepts, including multi-view geometry, camera models, photogrammetry, and 3D reconstruction techniques. Fluency in standard domain libraries (numpy, opencv, pytorch, etc). Proven understanding of data structures, algorithms, concurrency, and code optimization. 4+ years of professional industry experience working with C++ or Rust programming languages. Experience deploying software to end customers, internal or external. Must be willing to travel 25%. Eligible to obtain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS MS or PhD in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field. Experience with perception systems for aerial robotics or other highly dynamic platforms. Experience with real-world sensor integrations, including LiDAR, RGB-D cameras, stereo cameras, or TOF cameras. Knowledge of path planning algorithms and their integration with perception systems in dynamic environments. Experience with GPU / CUDA programming for accelerated computer vision processing. US Salary Range $168,000-$252,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ .

Computer Network Defense Analyst (CNDA) Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local The Opportunity: As cyber threats evolve and proliferate at a rapid pace, CACI is at the forefront of cyber network operations (CNO) and enabling information superiority. We help our customers prepare, defend, and sustain their cyber missions and protect their enterprises against cyber threats. CACI is seeking experienced Computer Network Defense Analysts (CNDAs) to support core Intelligence Community (IC) missions through our Next Generation Analysts portfolio. Our national security depends on technology as never before, and this dependence is growing at an ever-increasing rate. As a cyber professional in the intelligence community, you will work as part of a team on the frontlines against our cyber adversaries. Join us in helping advance our national security interests as part of the world's most advanced team of cyber professionals. Responsibilities: As a Computer Network Defense Analyst (CNDA), you will: Use information collected from a variety sources (e.g., intrusion detection systems, firewalls, network traffic logs, and host system logs) to identify potential vulnerabilities, respond to cyber events that occur, and defend against events that might occur. Help develop mitigations to strengthen network defenses and protect against attacks on network infrastructure devices or systems. Support a wide range of data transport possibilities, such as traditional wired networks, wireless transport (including Wi-Fi and cellular), collaborative platforms such as video teleconferencing, and the hardware and software that enable it all. Advance your career as you develop increasing expertise in networking protocols and architectures, cloud security, Internet of Things protocols, and advanced network security. Be part of a team, working together with government, military, and contractor personnel to develop shared understandings of intelligence needs, mission relevance, and areas of expertise. Apply your innate curiosity and analytical talent to form hypotheses, critically assess and choose analysis techniques, then query, merge, enrich, evaluate, and pivot within data to attain and share insights. Distill, document, contextualize and share your findings--including any new tradecraft that you develop--with teammates, stakeholders, and intelligence consumers. Qualifications: Active TS/SCI with polygraph clearance STEM degree in Network Engineering, Systems Engineering, Information Technology, or related field. Extended military cyber training courses may be counted toward degree requirement. Relevant experience must be in computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, and/or systems engineering. Must also have experience in network or system administration. Documented foreign language proficiency may count toward experience requirements. Specific labor category determined by years of experience + educational degrees and/or equivalencies. NextGen salaries are higher than national reflected average This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $105,100-$231,100 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Our mission: Every 7 seconds a worker is injured. The human and economic cost of workplace injuries around the world is $250 billion per year. At Intenseye, we believe that the health and safety of workers is non-negotiable. Intenseye is a truly disruptive employee health and safety (EHS) SaaS platform powered by cutting-edge AI. Using existing cameras, Intenseye’s AI empowers EHS leaders at Global Enterprises to “see the unseen” hazards and take corrective actions through 24/7 real-time leading indicator data flow. Currently, Intenseye AI protects 100,000+ employees in 25+ countries. Join Intenseye on the Journey to Zero! We are seeking a Product Manager to help drive our already incredible growth. Intenseye is a disruptive company in a new category solving major legacy issues for our customers. We have a proven product and market fit and are already closing and onboarding enterprise customers. Now is an incredibly exciting time to guide our new Product team! Insight and Expectations Product operations Setup and maintain product management process (backlog, well-written user stories, epics). Free up some of the founders’ time on some strategic topics! (e.g. competitive analysis). Product research and design Craft the product by working with designers and developers to find the best product solutions and build features that resonate with customers. Meet clients regularly to put them at the centre of product discussions. Product development Consolidate, rationalise, and prioritise market requirements into a product roadmap to define go-to-market strategy and the timeline for product features and improvements. Setup the first roadmaps with the rest of the team to establish clear product priorities for the next 1 - 3 - 6 months. Communicate the roadmap to all internal stakeholders through “release notes” so that everyone is up to speed. Product lifecycle Lead and take full responsibility for the full product life cycle development from initial concept, specification, design to launching. Lead product rollout efforts with marketing, sales, and other client-facing teams to create case studies, demos, training material, etc. The role Define product feature strategy and product road maps with clear objectives and long-term vision Complete a comprehensive assessment of market offerings, product gaps and client needs Determine clear prioritisation of features and functionality based upon a solid understanding of constraints, dependencies, costs, resources and customer benefits Develop plan for implementation timing of products/features on the PDL Manage the coordination and analysis of market research to understand customer behaviour, product satisfaction, and emerging opportunities Analyses appropriate ROI and related financial analysis of products. Identifies product enhancements to balance a favourable return on investment with customer needs Formulates, documents, and communicates tactical, actionable requirements for product development Suggests partnerships for products Collaborates with various departments to ensure product delivery and quality goals are achieved and maintained Act as point of communication for product expertise, requirements and roadmap validation with engineering and business teams Sound like you? Preferably you have 5+ years of relevant product management experience with a focus on software products for enterprise customers and current experience of working on AI, ML or Computer Vision Experience from a B2B and SaaS product is preferable. Experience in interfacing with clients to collect market insight. Excellent problem-solving, organisational, and analytical skills, with the ability to evolve product strategy based on research, data, and industry trends. Strong written and verbal communication skills. Experience with Artificial Intelligence (AI) / Machine Learning (ML) / Deep Learning (DL) software platforms is a plus. Experience in scaling a global start-up is a plus. Experience in health and safety and/or compliance management tools is a plus. What we offer Great salary and equity stake in a fast-growing business! Experience working with a fast development and research team of engineers using the latest and greatest technologies Flexibility on work location and hours Play a key role in growth of the company Saving lives and changing the industry with AI-powered health and safety Equal Employment Opportunity statement (EEO) Intenseye is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, physical or mental disability, sexual orientation, gender identity, medical condition, pregnancy, veteran status, genetic information or any other classification protected by state or federal law.

54,000 new photos are taken every second, and 600 hours of video are uploaded every minute. At Topaz Labs, we help over 1 million paying customers (including teams at Apple, Netflix, and NASA) maximize the visual quality of over 1 billion of these photos and videos. About us Topaz Labs is a full-stack AI company that develops, trains, and deploys generative AI models for image and video enhancement. We’re the best in the world at improving image and video quality, and produce several award-winning desktop products that millions of people rely on. Image and video creation has exploded in the past few years and we’ve grown with it, but we still only process a tiny fraction of the world’s content. We’re building an elite team dedicated to bringing our technology to every image and video that needs it. We execute quickly, obsess about the customer experience, and promote from within. We’re also profitable with an infinite runway. About the role As a Computer Vision Engineer , you will play a pivotal role in advancing engineering development within our AI research organization. Your responsibilities will encompass algorithmic visual data processing, data pipelines, training infrastructure, and large-scale training optimization, among other tasks. As the first engineering hire for our lab, this position offers an unparalleled growth opportunity and the chance to drive research scalability from an engineering perspective.In this unique role, you’ll collaborate closely with our deep learning research and engineering teams to build state-of-the-art models for image and video enhancement. We rapidly prototype, build, and deploy new products, and your contributions will help us develop superior AI tools and products for our millions of users. About you At least 3+ years of professional working experience in a related field Hands-on experience with performance optimization, e.g. with multithreading Hands-on experience with computer vision models Experience with MLops best practices Experience with datasets Expert knowledge of Python, C/C++ Preferred Experience with perceptron models in computer vision Experience with backend development Experience with OpenCV, ffmpeg, other media-specific libraries and frameworks Exposure to model optimization for local processing Interest in photography or videography Do you meet most but not 100% of the above? We’d still like to hear from you–we are passionate about developing a diverse team and culture, so please apply if you’re interested! This is a unique role for someone interested in making a deep impact at a high-growth tech software company. We offer strong base salary, plus significant ownership that scales with the company's growth. We also offer 100% covered medical/dental/vision for employees, 15 days annual PTO, 5 personal days plus holidays, and 401k matching. This is a full-time onsite role in Dallas, TX, and we will ask you to relocate if you're not in the area

Network/Computer Systems Administrator II Department: Information Technology Employment Detail: Full-Time Salary: $30.14/Hour Applications received by June 30, 2025 will be guaranteed full review and consideration. Applications received after that date may be considered until an adequate applicant pool has been established. DUTIES: Assists the Assistant Director of IT - Network Services/Computer Support regarding Responsibility of the overall efficiency and secure use of core server operating systems and hardware and enterprise networks; Account maintenance & management, authentication, security policies, network firewalls; Coordination of campus-wide Anti-virus, Spam, Malware and security functionality for the protection of all campus IT resources; Development of technical procedures, planning and coordination regarding disaster recovery, and enterprise backups; Configuration and maintenance of network switches, routers, VLANS, Firewalls, DNS enterprise hierarchy, IPV4, IPV6, and network logical design; Oversee com-room equipment rack cable management, to include port activation and VLAN management; Support and maintain enterprise wireless system. Knowledge of network access control, wireless controllers, access points, and associated management; Knowledge, application and ensured stability of campus active directory services including account management and group policy settings; Microsoft Entra ID / Azure Cloud Administration: Help administer and manage identities, access, and resources within Microsoft Entra ID (formerly Azure Active Directory) and Microsoft Azure, including user provisioning, security policies, conditional access, and cloud resource management. Oversight and implementation of print services, file shares, permissions and alternatives; Leverage PowerShell / Scripting to automate and implement solutions; SAN/NAS maintenance; Data Center level support services to include preventive maintenance, server upgrades (physical/virtual), backups/restores, environmental monitoring, management, log interpretation, routers, switches, firmware updates, etc.; Server systems/network failure analysis and resolution; Performance and operational readiness evaluations and monitoring; Install, configure, maintain graphical displays to properly monitor network traffic and ensure continual network connectivity, resource monitoring and trend analysis; Required Qualifications: Qualifying candidates must have an Associate in Networking/Technology/Information Technology or will obtain degree by May 31, 2026 (or related field) or 4 years relevant experience Preferred Qualifications: It is preferred candidates have experience in the configuration and maintenance of Local Area Networks, Enterprise Systems Management and Advanced System Administration Physical Demands Lift over 50 pounds Walk, bend, sit, stand for extended periods of time Kneel, climb ladders 6 ft and higher, crouch Carry equipment up a maximum of three flights of stairs Move equipment via a cart across campus, which includes up and down hills. For full consideration application materials must be complete. Please include Cover letter addressing qualifications Resume Contact information for 3 professional references Any offer of employment is contingent upon a satisfactory criminal background check. For full consideration application materials must be complete. Any offer of employment is contingent upon a satisfactory criminal background check. Montana Tech is committed to providing a working and learning environment free from discrimination. As such, the University does not discriminate in the admission, access to or conduct of its educational programs and activities nor in its employment policies and practices on the basis of race, color, religion, national origin, ethnicity, creed, service in the uniformed services (as defined in state and federal law), veteran status, gender, age, political beliefs, marital or family status, pregnancy, physical or mental disability, genetic information, gender identity, gender expression, or sexual orientation or preference. In support of the University's mission to be inclusive and diverse, applications from qualified minorities, women, veterans and persons with disabilities are highly encouraged. Montana Tech makes accommodation for any known disability that may interfere with an applicant's ability to compete in the hiring process or an employee's ability to perform the duties of the job. In compliance with the Montana Veteran's Employment Preference Act, Montana Tech provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran's preference please complete the employment (veteran's) preference form located on the employment page and email to humanresources@mtech.edu. You must include the job title of the position in which you are applying. Employment (veteran's) preference form To request an accommodation for the application or interview, please contact Cathy Isakson 406-496-4380; cisakson@mtech.edu Why Work at Tech? Help meet the changing needs of society by providing a transformative student experience by helping develop leaders for tomorrow by advancing science, engineering and technology. In addition, Montana Tech offers an attractive benefits package* which includes: Medical, Dental, and Vision Insurance with low deductibles and comprehensive coverage. Generous employer contribution toward monthly health care benefits worth $6.08 per hour. 5.9% retirement employer contribution for eligible employees 11 Holidays per year 3 weeks of Annual Leave to start Generous sick leave policy that can be used for sick children, doctor and dentist appointments as well as bereavement. 6 credits of coursework free per year (fees not included) Life and Disability Insurance Reduced tuition for dependents after 4 months of employment for eligible employees Employee Assistance and a Wellness Program Optional Retirement Plan for eligible employees Possible remote work days with supervisor approval and eligible positions. Benefits are dependent on position type and terms and conditions of eligibility. Montana Technological University, Butte Montana, is nestled in the Heart of the Rocky Mountains along the Continental Divide, where I-15 and I-90 intersect. We are home to the largest National Historic District in the country. Montana Tech is a special focus institution with a reputation for excellence and value. Montana Tech is ranked #1 in the nation by CollegeNET.

Machine Learning / Computer Vision Expert ML / CV Expert Location: Pittsburgh, PA August 2023 About us: We are farmers and technologists who have witnessed the effects of climate change on outdoor farm production first-hand; crops that grew readily on our founder's childhood farm now require costly intervention to achieve the same yield and quality. This is just a small window into a global problem. According to NASA, the productivity of outdoor farming could decrease by up to 30% by 2030 as climate change accelerates. The sustainable food supply system of the future will include more indoor-grown crops where production is shielded from volatile climate conditions. Our mission is to build the infrastructure for indoor growers to leverage modern robotics and data science to expand the scope and competitiveness of indoor-grown crops. Our big bet: pairing data generated by our integrated system with a specialized AI will give indoor farmers the opportunity to compete with outdoor farmers in a range of new crops/verticals. Job Summary: As a Machine Learning Expert at Leaficient, you will play a crucial role in designing and building our foundational data pipelines, processes, and models. You will apply innovative concepts from the world of computer vision to understand, predict, and control plant growth. You will be developing software that operates within farms with real-world constraints and you will need to be familiar with a broad range of computer vision, signal processing and optimization techniques and have a principled approach to downsample and implement the correct algorithm for the job. We're looking for a machine learning expert to join our growing team. You will make an impact in the following ways: Develop computer vision models to detect and classify plants Build a large training dataset for CV models Have a foundational role in building and defining all aspects of data and machine learning systems To be successful on the team, we are looking for someone with the following background: Familiarity with deep learning and computer vision models Extensive hands-on experience (3-5 years preferred) with computer vision libraries (e.g., OpenCV, pytorch, Keras, scikit-image) Knowledge of image segmentation, image classification, and depth estimation tasks Experience with common AWS services is preferred, particularly S3 and Lambda How to Apply: If you are excited about the opportunity to work with a dynamic team and contribute to groundbreaking projects, please submit any relevant materials to: [email protected]. We look forward to reviewing your application and discussing how you can be a valuable addition to our team.

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We are looking for a highly skilled New Grad Software Engineer with a focus on deep learning for computer vision applications to join us and solve real-world robotics problems. In this role, you will: Be responsible for designing machine learning algorithms and implementing them in robust, efficient, and well-tested C++ and/or Python code. Lead the development of deep neural networks to solve real-world robotics challenges such as lane detection, object detection and classification, sensor fusion, tracking, prediction, anomaly detection, and planning. Work with camera, laser, radar, and ultrasound data and curate datasets for machine learning. Set up automated training pipelines and develop data analytics tools to incrementally improve our performance on a growing dataset. Collaborate closely with other experts on the team, including the planning and systems engineering team. Qualifications: Strong technical background. BS, MS or PhD with academic or at least 1+ years industry/internship experience in designing and implementing deep neural networks. You are a skilled software engineer with experience in Python/ C++ and strong problem-solving skills. You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before. You ideally also have a strong knowledge of data processing pipelines for training ML models in the cloud. A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines. Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch. Hands on. You are not only passionate about ML research but also experienced working with production machine learning pipelines, from dataset collection and labeling to training and validation. Great communicator. You have experience writing clear, concise, and detailed documentation. You can enable your colleagues to leverage the ML models resulting from your work in their algorithms and systems. Benefits: Competitive compensation package including equity and biannual bonuses Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits) Flexible PTO and generous parental leave policies Our office is centrally located in Mountain View, CA Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging Long Term Disability, Short Term Disability, Life Insurance Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health Fidelity 401(k) Commuter, FSA, Dependent Care FSA, HSA Various incentive programs (referral bonuses, patent bonuses, etc.) The annual salary range for this full-time position is $135,000-$170,000 + bonus + equity + benefits. Actual salary ranges will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits. At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. Role and Responsibilities Conduct research, design, implement, optimize, and deploy advanced computer vision algorithms aimed at enhancing driving and parking functionalities. Develop high-quality automotive-grade software that adheres to rigorous automotive quality and safety standards. Seamlessly integrate the software stack with the overall perception software architecture to ensure optimal performance and exceptional fault tolerance in onboard perception systems. Execute testing, release, and launch procedures for perception algorithms within production programs. Actively contribute to the ADAS software roadmap, strategic planning, and development timelines. Assist in defining system requirements and identifying performance metrics for individual components. Perform on-road ADAS software testing and develop comprehensive test plans to support algorithm development. Required Qualifications Bachelor's degree in Computer Engineering, Electrical Engineering, Robotics, or Mechanical Engineering. In-depth knowledge and practical experience in 3D computer vision, multi-view geometry, and SfM/SLAM techniques. Strong expertise in camera calibration, linear algebra, numerical optimization, factor graph representations, and statistical estimation theory. Familiarity with OpenCV and image processing techniques is essential. A robust foundation in mathematics and robotics, enabling the proposal of innovative solutions for autonomous systems. Proficiency in C++ with extensive knowledge in object-oriented programming, algorithms, data structures, and software design principles. Excellent communication skills and the ability to work collaboratively as a team player. Preferred Qualifications Master's degree in Computer Vision, Computer Engineering, Electrical Engineering, Robotics, or Mechanical Engineering. A minimum of 3 years of relevant experience or a Ph.D. with minimal prior experience. Familiarity with optimization libraries such as GTSAM, Ceres, g20, etc. Experience with real-time operating systems (e.g., QNX, Ubuntu, etc.). Proficient in working with various sensor modalities including GPS/IMU, ultrasonic sensors, wheel odometry, etc. Experience in collaborating within agile development teams. Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Base Pay Range (Annual) $154,000-$211,750 USD By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.

Job Description Summary Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Job Description Job Summary: Help invent the future of flight, lift people up, and bring them home safely as a GE Aerospace intern or co-op! At GE Aerospace, safety and quality are our top priorities, and you'll be part of a team that upholds these values while working on challenging, real-world problems to design aircraft engines for commercial and military applications & support through service life. You'll build professional and technical skills in an engineering role, with access to mentorship and training programs. Develop relationships with other interns and leaders while preparing for a potential full-time position after graduation, either through one of our fantastic leadership programs or direct hire opportunities. An Aerospace Engineering Engines Computer and Software Engineering intern/co-op may experience work in an area such as the development of engine controls; gas turbine engine sensors; electrical power systems; vehicle health & data management systems; data collection and computing systems; real-time data analytics; embedded controls; engine test systems and integration. Responsibilities may include design, analysis, testing, writing software requirements, software testing, simulation, tool development, and product/program support. Ultimately, you'll be placed taking your preferences into account while also considering your major, year of schooling, and business needs at the time of placement. Qualifications/Requirements: Prior GE Aerospace internship experience required Minimum 3.0 cumulative GPA off a 4.0 scale without rounding. Attending a full time matriculated and nationally accredited baccalaureate or graduate program in computer engineering, computer science, software engineering, or another related major. Willingness and ability to work in the United States; primarily locations are Cincinnati, OH or Lynn, MA. Reliable transportation, many of our sites do not have public transportation available. Eligibility Requirements: Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Desired Characteristics: Due to the nature of the work, upperclassmen are preferred Engineering aptitude and passion for aviation technology An analytical approach to problem solving Strong knowledge of computer and Microsoft products Proficiency in at least one programming language Willingness and ability to learn from others Demonstrated leadership and team player Excellent interpersonal skills One who strives for academic excellence and shows great initiative Ability to be agile as business needs change and shift frequently Desire to work in a fast-paced ever-changing environment Benefits: Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city. Equal Opportunity Employer: GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

Please review the job details below. Maxar is looking for a Computer Vision AI/ML Engineer to join a creative, R&D team supporting an Intelligence Community customer. We pioneer new methodologies and tradecraft in computer vision and object detection using various data sources and modeling techniques to solve hard intelligence problems with our customer. Our team enjoys a collaborative atmosphere with a lot of autonomy and a robust technical stack of tools and compute power. If you like to tinker with AI/ML in a flexible and innovative environment, this is an exciting team for you! Project: As part of a research and development shop in our customer's space, we're identifying, obtaining, and analyzing various data sets using object detection and large language models to provide quantitative analytic techniques to model events, trends, and behavior in support of national security objectives. Career: We're very serious about professional development and continuing education. We offer everyone the opportunity to define their own career trajectory. Our group has some amazing resources at its disposal specifically for this purpose. You will work with your direct supervisor, and/or a mentor, to set appropriate goals and design a plan to help you make consistent progress. We offer: Dedicated professional development time. Conference attendance. Corporate partner/industry training. Peer groups. Paid certifications. Education reimbursement. Student loan forgiveness. and much more... Day-to-day with your colleagues: You'll join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, tensorflow, pytorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundation models to advance the Intelligence Community, fine-tune models to address real intelligence questions, and write compelling documentation and reports for decision makers. Our team's minimum requirements for this position: Current/active TS/SCI security clearance with required Polygraph. Bachelor's degree in a related field (Computer Science, mathematics, statistics, etc.). Relevant professional experience may be substituted for a degree. 8+ years of relevant professional experience. Recent experience with some of the following technologies: Performing complex modeling. Machine Learning/Object Detection/Computer Vision. Python, R or related software packages. Creating code and models. If you also had these skills that'd be amazing: Experience with Pytorch, keras Experience with overhead imagery platforms and types Experience initiating AI/ML projects with little oversite #cjpost #LI-RD #LI-Onsite In support of pay transparency at Maxar, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The base pay for this position within the Washington, DC metropolitan area is: $131,000.00 - $219,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. We offer a comprehensive package of benefits including paid time off, health and welfare insurance, and 401(k) to eligible employees. You can find more information on our benefits at: https://www.maxar.com/careers/benefits Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Maxar's Career page at the top of each job posting. To apply, submit your application via Maxar's Career page. Maxar Technologies values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we've built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking. We are looking for a talented Machine Learning Research Scientist who is passionate about delivering impactful solutions and thrives in a dynamic, collaborative environment. The ideal candidate will possess a strong background in software development principles, exceptional coding skills, and a deep understanding of deep learning based Computer Vision Responsibilities: Build ConvNet/Transformer models on structured loan document images such as ID doc, passport, title, insurance binder and bank statements to extract useful information for automatic approval of loans Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems Design and develop robust, scalable pipelines and systems using software engineering best practices Implement end-to-end solutions, including architecture design, business logic, and deployment Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases Devise new research methods to solve bleeding edge problems and get a chance to work on publishable outcome Conduct in-depth analysis of machine learning models and pioneer research methodologies to address cutting-edge challenges Stay updated with advancements in machine learning and related technologies to continuously improve our solutions Requirements: Ph.D in Computer Science, Engineering, or a related field with 3+ years of relevant industry experience Solid grasp of computer science fundamentals and core concepts in machine learning Strong knowledge of numpy, scipy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning is a must Strong knowledge in Deep Learning, Linear Algebra, Probability, Data Structures and Algorithms Proficiency in Python for data manipulation, PostgreSQL for database management, and Flask for web development Strong understanding of object-oriented programming principles and software design patterns $140,000 - $180,000 a year We believe: Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds. Compassion is a strength. We care about our customers and look to build long-term relationships with them. Simplicity is a key feature. We work hard to make our forms and processes as painless and intuitive as possible. Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions. Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity. If you believe these things too then we would love to hear from you!

Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing effective instruction and assessment within the framework of common syllabi provided. MAJOR RESPONSIBILITIES: Facilitate student learning by delivering assigned classes in accordance with College policy and course objectives. Make optimal use of available technology to enhance instructional methods. Supplement and alter, where appropriate, lesson plans, assignments, tests, and materials. Maintain accurate student records, grades, and other requirements. Engage with students proactively and regularly in meaningful and productive ways that impact student learning and lead to a positive experience with Ivy Tech Community College. Demonstrate evidence of developing and implementing teaching strategies focused on engaging online students with their learning. Interact with students and co-workers in a professional and cooperative manner, complying with College policies, guidelines, and expectations. Maintain a safe, quality online educational environment. Must demonstrate the ability to promote an environment that reflects the broad backgrounds represented by our students and employees in which every individual feels respected and valued. This is not to be construed as an exhaustive list. Other duties logically associated with this position may be assigned. All responsibilities will be conducted within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards. A qualified faculty member in computer information systems is one who: Possesses an earned master's degree or higher from a regionally accredited institution in computer information systems, management information systems, information technology, computer science or a computer-related degree as appropriate to the course and/or specialty being taught; OR Possesses a related or out-of-field master's degree, from a regionally accredited institution, with documented 18 semester hours or equivalent of courses in a computer, business, mathematics, or engineering-related field as appropriate to the course and/or specialty being taught beyond the introductory principle(s) level; OR Possesses a bachelor's degree in mathematics, engineering, or business/computer related field from a regionally accredited institution as appropriate to the course and/or specialty being taught with documentation in two or more areas of: Professional certification (national, regional, or state) in the field Two years of in-field professional employment Documented evidence of teaching excellence, including date of award Documentation of research and publication in the field Documented relevant additional coursework beyond the bachelor's degree, equivalent to 18 semester hours or equivalent subject matter coursework, CEU's, vendor, or military. Preferred Qualifications: Two years of in-field professional experience with Amazon AWS or Microsoft Azure Working knowledge of Linux operating system. Current CompTIA A+, Net+, or Sec+ certification Extensive knowledge of virtualization Must demonstrate ability to promote an environment that reflects the broad backgrounds represented by our students and employees and which every individual feels respected and valued. Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College's Title IX Coordinator or to the US Department of Education Office of Civil Rights.

Job Description Summary At GE Aerospace Research, our researchers work on the advancement of new Artificial Intelligence and Computer Vision technology to solve industrial problems for the Future of Flight. This work covers both fundamental and applied exploration, ultimately looking to provide a real path forward for sustainable air travel for the world, to advance the frontiers of beyond-atmosphere travel, and to continue to support the country's needs in national security. Job Description As a Research Scientist, you will design, experiment, analyze, improve, and apply new AI / CV technology. Along the way, you will investigate concepts from their fundamentals (theoretical and empirical) to their prototype and creation as new solutions that change the world. You will develop algorithms and systems that will be used from design to manufacturing, testing to operation, reliability to replacement. This will involve contributing to new projects with GE Aerospace business units and working with a wide array of fellow researchers across disciplines and domains. It will also include the opportunity to work on government-sponsored, cutting-edge research programs with GE Aerospace's external partners in academia and government. You will help drive the future of AI / CV research at GE and advance human scientific understanding among the broader global community. Job Description Essential Responsibilities: Work with researchers on new and continuing projects Develop software solutions for the application of Artificial Intelligence to aerospace programs, ultimately impacting the product and service offerings of GE Aerospace as well as its internal tools and practices Implement and analyze prototypes and solutions for real-world problems Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions Collaborate with GE Aerospace's other AI / CV experts to define and pursue strategic advancement of new technologies Publish novel findings in scientific workshops, conferences, and journals Create intellectual property by writing invention disclosures and filing patents Develop in technical and leadership skills in preparation for future work as a Lead Scientist Qualifications/Requirements: MS + 4 years experience or PhD in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer Vision Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems Candidate must be willing to travel a minimum of 2 weeks per year U.S. citizenship is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Willing to relocate to work out of an office located in Niskayuna, NY Ideal Candidate Characteristics: Ph.D. focusing on new advancements in Artificial Intelligence, Machine Learning, and/or Computer Vision Deep expertise in one or more of: Geometry in Computer Vision, CAD Registration, CT Imaging, Machine Learning + Physics, Explainable Machine Learning, Graph Neural Networks, Causal Inference Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DARPA, ARL, AFRL, and ONR Ability to obtain Secret (or higher) US Government clearance Post-doctoral or industrial experience inventing and developing new AI / CV technologies Extensive publications in peer-reviewed journals and conferences in Computer Vision, Artificial Intelligence, and/or relevant application fields Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact The base pay range for this position is 80,000 - 150,000 USD Annually. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary. This posting is expected to close on Ma5 16, 2024 Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. #LI-MV1 This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team in Human-Centered AI, Human Interactive Driving, Energy and Materials, Machine Learning, and Robotics. The Human Interactive Driving team seeks to accelerate the path to building a much more intelligent vehicle that places humans at the center of a more evocative and safer driving experience. Under the Driving-Sensei concept, we research AI-based interactions to unlock a person's full driving capability while simultaneously making driving safer and more enjoyable. We are looking for a Senior Human-Computer Interaction Researcher to work on our Driving-Sensei project, focusing on designing user studies, implementing prototype software and hardware, conducting user studies, analyzing data, and reporting findings through writing papers. You will also be involved in transferring research prototypes from performance driving applications to real-world teen driving scenarios both in a driving simulator as well as real vehicle platforms. Responsibilities Design and conduct user studies to evaluate the effectiveness of HCI systems in improving driving skills and enjoyment. Develop and implement prototype HCI systems that involve real-time interactions reacting to sensor inputs from a vehicle. Transfer existing research prototypes from performance driving domain to teen driving application domain. Analyze data collected from user studies (Python/R) and present findings through internally and externally published research papers and presentations. Debug hardware and software interfaces from both software and hardware perspectives. Train and manage research assistants to aid in the execution of research. Capture intellectual property generated through the research process in the form of invention disclosures. Specify, budget, and manage recruitment activities performed by external agencies. Work on-site at our Los Altos office and travel monthly to a race track for vehicle testing. Qualifications PhD in Computer Science, Robotics, or equivalent. 3+ years of experience in HCI/HMI research or human-factor-related projects in the automotive field. Hands-on approach to prototyping and coding (e.g., Python, C++, Arduino, Raspberry Pi). Strong programming skills in Python, C++, and development tools in Linux. Experience implementing interactions using machine learning algorithms, including large language models and computer vision. Ability to communicate complex concepts clearly across different audiences. Have a high level of initiative and self-motivation, work without direct supervision. Bonus Qualifications Working knowledge of software development using ROS2. Basic understanding of vehicle control and/or wheeled robotics. Experience in software development in a production/commercial environment. Experience in researching shared control systems. Experience working in the field of artificial intelligence including autonomous and semi-autonomous driving systems or robotics. Experience working with various input and output modalities (i.e. touch, speech, haptics, displays, etc.). The pay range for this position at commencement of employment is expected to be between $170,240 and $270,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

A Brief Overview With direct supervision, runs production batch scheduler, production printers, and performs problem resolution for aborted processes. This role is eligible to participate in Zenith's hybrid work schedule which provides the flexibility to work from home on select days of the week according to the in-office schedule established by regional executive leadership. Selected candidate must be able to report into the Sarasota, FL, Orlando, FL, Springfield, IL, East Norriton, PA or Austin, TX office on a weekly basis. Candidates must have valid authorization to work in the United States. Visa sponsorship, including for those on OPT, is not available at any time What you will do With minimum supervision, run production batch scheduler, create supporting batch processes, monitor and run production printers, and performs problem resolution for aborted processes. Monitors production batch scheduling system(s). Performs production and test code promotions. Identifies and documents basic operational problems and notifies appropriate personnel. Assists in disaster recovery testing. Executes basic, routine testing and implementation steps according to project plans. Run production print equipment. Assist in printed materials collation and envelope stuffing. Work off-hours or weekends to complete planned projects or M/E production batch cycles. Applies principles of logical thinking to define problems, collect data, establish facts, and draw valid conclusions. Work productively and harmoniously with others on a consistent basis. Respond positively to direction and feedback on performance. Consistently maintain professional and appropriate demeanor. Perform other duties/projects as assigned. Education, Skills, and Requirements High School Diploma or equivalent required Bachelor's Degree or equivalent combination of training/experience preferred 2+ Years work experience required 1+ years' experience in and knowledge of Unix with basic scripting in Python, SQL, including basic knowledge of MicroSoft applications, Excel and SQL Server and a background in batch automation and troubleshooting. Must have the ability to understand the advantages of new or upgraded product solutions to users and how to contribute to deployment strategies. The expected salary range for this position is $48,395.91-$65,334.48. Actual pay will be adjusted based on experience, geographic location, and other job-related factors as permitted by law. Qualifications may warrant placement in a different job level. Benefits Medical, Dental and Vision Insurance Flexible Spending Accounts Paid Parental Leave Life, AD&D and Disability Insurance 401(k), Employee Share Purchase Plan (ESPP) Education and Training Reimbursement Paid Leave: 3 weeks/year Vacation, 2 weeks/year Sick Leave 10 paid Company Holidays, 2 Personal Days, 2 Floating Holidays Employee Assistance Program (EAP) For more information, review details on the Benefits page of our Career Site: https://www.thezenith.com/careers/benefits/ Zenith typically posts jobs for a minimum of 8 to 14 calendar days. If you are interested in any of our open positions, we encourage you to submit your application promptly. Zenith Insurance Company is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic. In compliance with California law, we are committed to fair hiring practices. Pursuant to the California Fair Chance Act (AB 1008), we will consider qualified applicants with criminal histories in a manner consistent with the law. Additionally, in accordance with the Los Angeles Fair Chance Initiative for Hiring Ordinance, we will not inquire about an applicant's criminal history until after a conditional offer of employment has been made. If you are a qualified individual with a disability or a disabled veteran and need assistance accessing our career center or applying for a position due to your disability, you are entitled to request an accommodation. To make a request, please contact a Human resources representative at Zenith Insurance Company. #LI-EF1 #LI-Hybrid

Berkeley College is seeking highly qualified and motivated instructors to teach Computer Information System and Information Technology courses and to support its vision of becoming the college of choice for students pursuing lifelong success in dynamic careers. Berkeley College has a diverse student population across its New York and New Jersey locations. Salary Range: $3,330.00- $3,780.00 per course/semester. Faculty Responsibilities: Engage in the classroom and reply to student emails, questions, and discussions on a timely basis. Be a faculty leader in your classes embracing USDLA Quality Standards. Evaluate and grade students' class work, assignments, and papers on a timely basis and provide effective feedback to guide student learning and success. Comply with Berkeley College guidelines and expectations for quality faculty engagement online. Participate in professional development to enhance teaching skills. Attend discipline specific and administrative meetings as scheduled. Maintain 'discipline' knowledge by participating in one's own discipline-related professional communities. Support Berkeley College initiatives and departments. Job Requirements: A master's degree and other appropriate credentials, if applicable. Experience using Python, R and SQL preferred for Information Technology courses. Demonstrated success in teaching at an institution of higher education, preferred. A willingness to teach on campuses in NY or NJ or online. An ability to teach classes during the day, or evening, if needed. Comfortable using technology and Microsoft suite, especially Excel. Experience using a Learning Management System such as Canvas, preferred. Will train. We are only accepting applications from candidates who reside in New York, New Jersey, Connecticut, and Florida, now and during the course of employment with Berkeley College. Berkeley College is committed to excellence in diversity and equity and the continuation of an inclusive learning and working environment. We are an Equal Opportunity Employer and consider applicants for all positions regardless of race, color, religion, creed, gender, age, national origin, marital and veteran status, disability, sexual orientation, gender identity or expression, or any other legally protected status. We believe in fostering inclusion, acceptance, and understanding in our community by employing individuals who bring unique perspectives to the college. All interested individuals, including people of all races and national origin, people of all ages, people of all religions, people with or without disabilities, and/or people with any gender identity and sexual orientation, are urged to apply.

Title: Senior Computer Scientist Senior Computer Scientist As a Senior Computer Scientist, you will play a critical role performing research, developing models and simulations, optimizing software efficiency, and analyzing results. You will work as part of a collaborative team of engineers and software developers to develop models and simulations of defense systems. Applicants will also be tasked with developing a simulation framework to ensure operability between various simulations including developing, testing, and maintaining interfaces and APIs. This position is ideal for someone who is highly organized, thrives in a dynamic, fast-paced environment, and enjoys researching and developing new skills. Key Responsibilities: Develop software in conjunction with engineering team to simulate defensive systems. Lead software development teams. Use configuration management tools such as GIT, Gitlab, or DevOps as part of the software development process. Use Continuous Integration/Continuous Development (CI/CD), DEVSECOPs, and Agile processes to meet development goals. Develop containers and Kubernetes for software deployments. Optimize software for run-time performance. Lead simulation framework activities including development of APIs. Perform software testing. Qualifications and Skills Requirements: Computer science degree from accredited university. 10-20 years of experience. Ability to obtain and/or maintain a DoD secret clearance. Programming experience in Python and C/C++. Experience with GIT, Gitlab, or DevOps (or similar) required. Experience with containerization and Kubernetes required. Linux and Windows software development environments experience. Experience with missile defense systems is highly desirable. Experience in physics-based models and simulations preferred. Excellent written and verbal communication skills, strong social skills, and ability to build consensus among peers while building solid relationships with team members, leadership, and customers. Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Title: National Security Solutions (NSS) Electrical Engineering and Computer Engineering Internship Who We Are KBR Government Solutions delivers full life cycle professional and technical solutions that improve operational readiness and drive innovation. Our solutions help ensure mission success on land, air, sea, space and cyberspace for the Department of Defense, Intelligence Community, NASA and other federal agencies. KBR's areas of expertise include engineering, logistics, operations, science, program management, mission IT and cybersecurity. KBR strives to create a safer, more secure and sustainable world by bringing together the best and brightest to deliver technologies and solutions that help our customers accomplish their most critical missions and objectives. The Mission Ahead This role is with KBR's Government Solutions U.S. division. At KBR Government Solutions, we don't just envision a world that's safer, more secure, and sustainable - we create it. Our legacy of delivering advanced full life cycle professional and technical solutions is matched only by our commitment to operational readiness and innovation. As stewards of critical missions for the Department of Defense, Intelligence Community, NASA, and other key federal entities, we excel in engineering, logistics, operations, science, program management, mission IT, and cybersecurity. United in our quest for excellence, KBR stands at the vanguard, ready to transform possibilities into impactful realities for a better tomorrow. Why Join KBR? Mentorship from experienced subject matter experts Cutting edge projects, relevant to real world challenges Work in a collaborative and dynamic team environment Networking opportunities with other technologists and executives Competitive pay and great company culture As a National Security Solutions Intern, you will: KBR is looking for highly motivated rising Juniors, Seniors and Graduate students seeking business, engineering, and software development opportunities that provide challenging and meaningful work experience to be a part of our 2025 Intern class. Provides technical support in engineering, science, IT or related field working in such areas as research, design, development, testing, or manufacturing process improvement. Performs simple routine tasks under close supervision or from detailed procedures. Work is checked in progress or on completion. Technical adequacy of routine work is reviewed on completion; non-routine work may be reviewed in progress. Working towards graduate degree. Ability to interpret complex information in a non-technical and engaging manner. Identify problematic areas in data and conduct the necessary research to provide a lasting solution. Selected interns for this paid opportunity will be provided with the opportunity to mentor with experienced professionals, gain experience and establish a name for themselves in this high demand career field. Anticipated Skill Set: Experience with Python, MatLab, C++, Java or similar coding languages. Learn and apply state-of-the-art scientific coding practices Perform validation and regression testing of new and existing MATLAB scientific code Experienced with Microsoft Excel Major field of study: Electrical Engineering, Computer Engineering, Computer Science, or any other scientific/engineering/technical degree with appropriate experience. Scheduled Weekly Hours: Average 40 hours per week. Basic Compensation: $19.00 - 31.00 per hour The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal parity. Requirements: Must be a US Citizen Must pass a Security Pre-Screen and have the ability to obtain a security clearance. We Deliver- Together. Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver- Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.