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Position Summary: The position is responsible to assist individuals in identifying and/or acquiring skills to be as independent as possible and establish an environment that provides safety and skill enhancement. Evening and Weekend positions. Full-time and Part-time positions available in Glens Falls. Primary Duties & Essential Functions: Care of Individuals Employs procedures which maintain an environment of care that is safe and therapeutic. Provides direct care to individuals per agency policy. Implements appropriate supervision to assigned daily schedules, including all routines and life skills activities. Dispenses medication per agency policy. Safely transports individuals as assigned per level of supervision required. Assists assigned individuals with specific tasks as designated by individual treatment plan. Participates in the treatment team or recommendation process. Assist in personal care of individuals. Assures appropriate boundaries Policies and Procedures Learns and practices agency policies and procedures. Learns and implements each individual treatment plan including: physical interventions, documents and makes proper notifications according to procedures. Provides coverage as assigned. Remains on-duty until properly briefed and appropriate parameters are met. Supervision Actively participates in supervision. Participates in agency and other staff development opportunities as assigned. Attains and actively participates in all assigned training’s. Agency Responsibilities Engages in all living unit, service, and/or department planning and goal attainment. Participates in activities and committees. Changes work location to meet agency needs. Maintains appropriate attendance and punctuality. Communication Reviews and signs off on all logs and thoroughly completes briefing. Completes all necessary communications, documentations, and loggings. Properly notifies and/or consults with the Administrator on Duty (AOD). Proactively and effectively liaisons with other disciplines, internal and external Service Providers and families as appropriate. Appropriately utilizes chain of command As assigned and will complete section of monthly report. Environment of Care Completes assigned cleanup procedures, checklists and schedules. Proactively and effectively liaisons with Maintenance, House Manager, Coordinators, Direct Support Supervisors and Directors. Runs routine in the absence of other team members when necessary Supports Quality Assurance Quality Improvement directives Other Responsibilities Completes other responsibilities as properly assigned. When required, assures and assists with supervision of all individuals served. Promotes and supports cultural diversity and competence and is strength based. As this list of duties and responsibilities are not intended to be all-inclusive, other tasks and responsibilities may be assigned from time to time as business needs require. Required Education, Knowledge and Skills: Proof of High School Diploma/GED Valid driver’s license to ensure ability to drive agency vehicles with clean MVR. Medication certified within provisional period. Ability to write legibly. Ability to communicate effectively with other disciplines and individuals served. Ability to perform physical interventions. Basic computer skills. Abilities and Working Conditions: Must be able to lift and carry up to 25 pounds with or without reasonable accommodation. Must be able to be mobile in a multiple story building, with or without reasonable accommodation. Willingness to respond to the needs of a culturally diverse population. Travel as required. Ability to deal positively with changing priorities in a fast-paced environment. Display a positive, professional and proactive attitude to accomplish quality work that is in line with the agency’s mission statement. Seek opinions, alternative viewpoints in decision making. Understand and respect the expertise and experience of others, appreciate the different views, and the perspective and limitations of other individuals. Exhibits a professional, courteous demeanor with internal and external constituents. Compensation: $18+ an hour based on education, experience and shift differential. Vanderheyden is committed to the National Sanctuary Model - a blueprint for clinical and organizational change which, at its core, promotes safety and recovery from adversity through the active creation of a trauma-informed community. The Sanctuary Model's focus is not only on the people who seek services, but equally on the people and systems that provide those served. Vanderheyden Hall Inc., as an Equal Opportunity Employer, does not discriminate in its hiring or employment practices on the basis of gender, race or ethnicity, color, national origin, religion, age, disability, military or marital status, sexual orientation, gender identity or expression, prior arrest or conviction record or any other category protected by applicable federal, state or local laws.

Driving School Instructor Join AAA Driving School as a Full-Time Driver Training Instructor! Make a meaningful impact by helping create safer roads in your community. AAA is hiring full-time Driver Training Instructors to join our dedicated Driving School team. In this role, you’ll teach safe driving techniques to students of all ages and experience levels, foster a positive learning environment, and apply your knowledge of state driving laws with patience and professionalism. Hourly Pay: $20.00/hour Schedule – Full-Time (37.5 hours/week): We’re looking for team members with flexible availability to work 7.5-hour shifts across both day and evening hours. Weekend availability is required for at least one day, with both days preferred. Weekly schedules may vary depending on student demand. Paid Licensing & Training Growth & Advancement Opportunities What You’ll Do Deliver behind-the-wheel instruction to students of varying ages and experience levels, following AAA’s curriculum and training standards Use our driving school software to track and manage student progress Assess student performance and provide personalized guidance Stay current on safe and defensive driving practices and maintain all required state documentation What You’ll Bring Experience in driving instruction, education, or the automotive industry Confidence working with the public, especially teens A strong commitment to promoting safe driving habits Flexibility to accommodate student schedules, including weekday afternoons and at least one weekend day Physical ability to sit for extended periods, hear and see in all weather conditions, bend, stoop, kneel, reach, and lift up to 25lbs Must be capable of safely assuming control of the vehicle from the passenger seat during instruction or emergency situations. Requirements High school diploma or equivalent Valid driver’s license with a clean driving record Minimum of 5 years of driving experience Must obtain state-issued Driving School Instructor license, which includes passing a DMV-required physical exam Must successfully complete a background check and drug screening Benefits: Extraordinary medical/dental/vision/life benefits 401(k) Savings plan with company match Tuition assistance PTO for community volunteer programs Wellness program Employee discounts (membership, insurance, travel, entertainment, services and more!) Auto Club Enterprises is the largest federation of AAA clubs in the nation. We have 14,000 employees in 21 states helping 17 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity – we win. All of Us! With our national brand recognition, long-standing reputation since 1902, and constantly growing membership, we are seeking career-minded, service-driven professionals to join our team. Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.” AAA is an Equal Opportunity Employer

Create a healthier, brighter future for pets, pet parents and people! If you want to make a real difference, create an exciting career path, feel welcome to be your whole self and nurture your wellbeing, Petco is the place for you. Our core values capture that spirit as we work to improve lives by doing what’s right for pets, people and our planet. We love all pets like our own We’re the future of the pet industry We’re here to improve lives We drive outstanding results together We’re welcome as we are Petco is a category-defining health and wellness company focused on improving the lives of pets, pet parents and Petco partners. We are 29,000 strong and operate 1,500+ pet care centers in the U.S., Mexico and Puerto Rico, including 250+ Vetco Total Care hospitals, hundreds of preventive care clinics and eight distribution centers. We’re focused on purpose-driven work, and strongly believe what’s good for pets, people and our planet is good for Petco. As a Vetco Veterinary Assistant, you will meet your veterinary team at our local dispatch office, then travel to your assigned Petco clinic locations for the day. At the clinics, your team of veterinary assistants will greet the pet parents and recommend the veterinary services that will best protect their pets. The Veterinary Assistant will assist the Veterinarian so the services can be administered and thank the pet parent for protecting their pet!Essential Job Functions:The incumbent must be able to perform all of the following duties and responsibilities with or without a reasonable accommodation.- Must love dogs and cats...and people too!- Team player who thrives on supporting the team in every way.- Make educated recommendations to our clients and providing exceptional customer service.- Works hard and has fun doing it!- Eager to learn.- Ability to work in changing environments, traveling throughout our Market.- Responsible and accountable individuals.- A can-do attitude. Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Petco Animal Supplies, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or any other protected classification. The pay ranges outlined below are presented in accordance with state-specific regulations. These ranges may differ in other areas and could be subject to variation based on regulatory minimum wage requirements. Actual pay rates will depend on factors such as position, location, level of experience, and applicable state or local minimum wage laws. If the regulatory minimum wage exceeds the minimum indicated in the pay range below, the regulatory minimum wage will be the minimum rate applied. $15.50 - $21.25 Hourly or Salary Range will be reflected above. For a more detailed overview of Petco Total Rewards, including health and financial benefits, 401K, incentives, and PTO -see https://careers.petco.com/us/en/key-benefits To translate this webpage to Spanish or other languages on your internet browser click the translate button to the right of your browser address bar. Additional instruction can be found here: https://support.google.com/chrome/answer/173424?hl=en-GB&co=GENIE.Platform%3DDesktop Para traducir esta página web al español u otros idiomas en su navegador de Internet, haga clic en el botón de traducción a la derecha de la barra de direcciones de su navegador. Puede encontrar instrucciones adicionales aquí: https://support.google.com/chrome/answer/173424?hl=en-GB&co=GENIE.Platform%3DDesktop

Pay: $19 - $25/hour Schedule: Monday - Friday, 8 AM to 5 PM EXAMPLES OF WORK PERFORMED FOR PAYROLL ADMINISTRATOR: Compile and input payroll data for all employees in each assigned company all done in excel. Confirm with managers that all hours are correct for all employees. Ensure compliance with all applicable local, state, and federal wage and hour laws. Solve problems concerning payroll and answer questions employees have. File payroll records. Assist with the entry of all local vacation and sick requests, verify balances, and work with managers and employees to answer questions related to sick and/or vacation accrual process. Investigate employee complaints concerning discrepancies in checks or direct deposit. Compile and prepare payroll reports. Compile monthly compensation sheets for senior level managers by referring to financial statements and other internal reporting Assist with the setup and maintenance of garnishments. Monitor garnishment balances and understand timing and how to handle multiple garnishments for individual employees. Process manual checks as needed. Assist in employment eligibility verification for all employees. Scheduled and Ah Hoc reporting which include, but is not limited to the following: monthly turnover, time card audits, reports to upper management, sick day tracking, assisting with benefit uploads, cashier till tracking, full-time/part-time tracking/auditing, evaluation tracking, and policy tracking. Complete special projects as assigned. Assist with special projects and events as needed, which will require travel around the OKC metro area at times. Back up other human resource staff as needed. Perks that come with the job as Payroll Administrator: Fun work environment! Benefits Package - Health, Dental & Vision, 401K matching, Life Insurance, HSA, FSA, Accident, Critical Illness, and Hospital Indemnity coverage, Short- and Long-Term Disability and Employee Assistance Program Paid Vacation Employee Discounts 10% Gym Onsite EMPLOYMENT STANDARDS FOR PAYROLL ADMINISTRATOR: Bachelor’s degree preferred; must have excellent Microsoft Excel knowledge, including, but not limited to vlookups, pivot tables, subtotaling, if statements, sumif formulas, etc. Ability to understand the basics of Visual Basic is a plus, but not required; Two years of experience in payroll preferred; experience with UltiPro Core and BI preferred; experience with garnishments preferred; excellent communication skills both verbal and written; ability to handle confidential information; must be 21 years old or older with a valid driver’s license with no more than 2 traffic violations or 1 chargeable accident within the past three years. Knowledge of employment and safety guidelines. PHYSICAL ACTIVITY REQUIREMENTS: To successfully perform the essential functions of the job, an employee must be able to perform the following: Stooping, kneeling, crouching, reaching, standing, climbing, crawling, walking, pulling, lifting, talking, hearing/listening and repetitive motion. Heavy Work: Lifting up to 10 lbs occasionally. Work Environment: Indoor climate-controlled environment. Mathis Home promotes and maintains a drug-free work environment. Mathis Home is an Equal Opportunity Employer.

Driving School Instructor Join AAA Driving School as a Full-Time Driver Training Instructor! Make a meaningful impact by helping create safer roads in your community. AAA is hiring full-time Driver Training Instructors to join our dedicated Driving School team. In this role, you’ll teach safe driving techniques to students of all ages and experience levels, foster a positive learning environment, and apply your knowledge of state driving laws with patience and professionalism. Hourly Pay: $24.50/hour - $26.00/hour Sign-On Bonus (External Candidates Only): $2,000 for non-licensed instructors or $3,000 for licensed California Driving Instructors Schedule : 40 hours/week. Weekdays: Start between 11:30am-1:00pm, work an 8-hour/shift. Weekends: Minimum one day, starting as early as 7:00am for an 8-hour shift. Company Vehicle Provided: all fuel, maintenance, and insurance fully covered Paid Licensing & Training Growth & Advancement Opportunities What You’ll Do Deliver behind-the-wheel instruction to students of varying ages and experience levels, following AAA’s curriculum and training standards Use our driving school software to track and manage student progress Assess student performance and provide personalized guidance Stay current on safe and defensive driving practices and maintain all required state documentation Travel within a 50-mile radius as needed; a company vehicle with paid gas, maintenance, and insurance is provided What You’ll Bring Experience in driving instruction, education, or the automotive industry Confidence working with the public, especially teens A strong commitment to promoting safe driving habits Flexibility to accommodate student schedules, including weekday afternoons and at least one weekend day Physical ability to sit for extended periods, hear and see in all weather conditions, bend, stoop, kneel, reach, and lift up to 25lbs Must be capable of safely assuming control of the vehicle from the passenger seat during instruction or emergency situations. Requirements High school diploma or equivalent Valid driver’s license with a clean driving record Minimum of 5 years of driving experience Must obtain state-issued Driving School Instructor license, which includes passing a DMV-required physical exam Must successfully complete a background check and drug screening The starting pay range for this position is $24.50 – $26.00 per hour. Additionally, after completion of your first year in the role, you will be eligible to participate in our incentive program based upon your team and individual performance. Remarkable benefits: Health coverage for medical, dental, vision401(K) saving plan with company match AND Pension Tuition assistancePTO for community volunteer programs Wellness programEmployee discounts (membership, insurance, travel, entertainment, services and more!)Auto Club Enterprises is the largest federation of AAA clubs in the nation. We have 14,000 employees in 21 states helping 17 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity – we win. All of Us! With our national brand recognition, long-standing reputation since 1902, and constantly growing membership, we are seeking career-minded, service-driven professionals to join our team. “Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.” AAA is an Equal Opportunity Employer The Automobile Club of Southern California will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance (FCIHO), the Unincorporated Los Angeles County (ULAC) regulation, and the California Fair Chance Act (CFCA).

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing ( eVTOL ) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning , and smart connectivity.   We are seeking Deep Learning Engineers with strong expertise in machine learning (ML) and deep learning (DL) system design, along with solid software development skills. In this role, you will research, implement, and evaluate a unified end-to-end onboard model leveraging state-of-the-art technologies, including transformer-based architectures, diffusion models, reinforcement learning, and Vision-Language-Action (VLA) models. You will collaborate with a world-class team of experts in computer vision, AI systems, and software engineering to push the boundaries of autonomous vehicle performance. Your work will be powered by vast amounts of real-world multimodal data from our autonomous fleet, enabling the development of next-generation AI-driven driving solutions.   Job Responsibilities: Research and develop cutting-edge deep learning algorithms for a unified, end-to-end onboard model that seamlessly integrates perception, prediction, and planning, replacing traditional modular model pipelines. Research and develop Vision-Language-Action (VLA) models to enable context-aware, multimodal decision-making, allowing the model to understand visual, textual, and action-based cues for enhanced driving intelligence. Design and optimize highly efficient neural network architectures, ensuring they achieve low-latency, real-time execution on the vehicle’s high-performance computing platform, balancing accuracy, efficiency, and robustness. Develop and scale an offline machine learning (ML) infrastructure to support rapid adaptation, large-scale training, and continuous self-improvement of end-to-end models, leveraging self-supervised learning, imitation learning, and reinforcement learning. Deliver production-quality onboard software, working closely with sensor fusion, mapping, and perception teams to build the industry’s most intelligent and adaptive autonomous driving system. Leverage massive real-world datasets collected from our autonomous fleet, integrating multi-modal sensor data to train and refine state-of-the-art end-to-end driving models. Design, conduct, and analyze large-scale experiments, including sim-to-real transfer, closed-loop evaluation, and real-world testing to rigorously benchmark model performance and generalization. Collaborate with system software engineers to deploy high-performance deep learning models on embedded automotive hardware, ensuring real-world robustness and reliability under diverse driving conditions. Work cross-functionally with AI researchers, computer vision experts, and autonomous driving engineers to push the frontier of end-to-end learning, leveraging advances in transformer-based architectures, diffusion models, and reinforcement learning to redefine the future of autonomous mobility.   Minimum Skill Requirements: MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience. Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics. 5 - 8 years + of experience working with DL frameworks such as PyTorch, Tensorflow. Strong Python programming experience with software design skills. Solid understanding of data structures, algorithms, code optimization and large-scale data processing. Excellent problem-solving skills.   Preferred Skill Requirements: Hands on experience in developing DL based planning engine for autonomous driving. Experience in applying CNN/RNN/GNN, attention model, or time series analysis to real world problems. Experience in other ML/DL applications, e.g., reinforcement learning. Experience in DL model deployment and optimization tools such as ONNX and TensorRT.   What do we provide: A fun, supportive and engaging environment Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving Opportunity to work on cutting edge technologies with the top talent in the field Competitive compensation package Snacks, lunches and fun activities   The base salary range for this full-time position is $244,140-$413,160, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.   We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Description AdaptHealth Opportunity - Apply Today! At AdaptHealth we offer full-service home medical equipment products and services to empower patients to live their best lives - out of the hospital and in their homes. We are actively recruiting in your area. If you are passionate about making a profound impact on the quality of patients' lives, please click to apply, we would love to hear from you. Warehouse Technician (Driving) The Warehouse Technician will process orders, prepare items for shipment and receive incoming inventory. Where applicable also responsible for cleaning and disinfecting returned equipment, cleaning room maintenance, stocking and staging inventory, and inventory maintenance. The technician assists the supervisor or manager in pulling and loading equipment for delivery in addition to assembly of equipment when necessary, maintaining confidentiality and all other aspects of HIPAA compliance are essential in this job. Employees in this position may also be requested to deliver equipment to patients and/or facilities. Essential Functions and Job Responsibilities: Performs data entry in appropriate applications, updates shipping information, and tracks orders. Completes clerical tasks including faxing, scanning, filing, and general phone calls. Prepares shipping containers in advance and creates labels. Reviews itemized customer lists; locates and assembles outgoing merchandise to fulfill requests. Verifies contents of outgoing packages against invoices or bills of lading. Receives and opens merchandise shipments, processes packing slips or invoices, and safely stores items. Documents returned items and cleans equipment following the Branch Maintenance and Cleaning Guidelines Retains knowledge of and consistently adheres to procedures for the use of Personal Protective Equipment (PPE), infection control, and hazardous materials handling. Routinely cleans warehouse area pursuant to Standard Operating Procedure (SOP), discards waste material daily and maintains a clean facility. Assists in the stocking, tracking, and replenishment of inventory. Collects and delivers packages to the shipping area. Responsible for communicating actual and potential stock shortages or outages to the warehouse manager in a timely manner to assure adequate inventory level. Responsible for monitoring expiration dates to assure supplies are returned or re-inventoried per company guidelines. Delivering equipment (when requested): Follows Driving Policy and completes required driver training. Educate customers in proper use and care of respiratory and HME equipment in a home setting Complete written patient visits reports following setup and follow-up visits as required Assist with customer equipment problems under emergency conditions Process all orders in a timely, accurate manner Perform patient assessment and re-assessment for patient care Perform routine preventative maintenance and simple repairs on equipment as required in accordance with company policies Report equipment hazards and/or product incidents as required in accordance with company policies and procedures Assume on-call responsibilities during non-business hours in accordance with company policy Maintain patient confidentiality and function within the guidelines of HIPAA Completes assigned compliance training and other educational programs as required Maintains compliant with AdaptHealth's Compliance Program Perform other related duties as assigned Competency, Skills and Abilities: Equipment repair or maintenance skills Problem solving skills with attention to detail Ability to prioritize and manage multiple tasks Ability to clean, test and repair home medical equipment. Ability to identify safety hazards and take the necessary precautions Accurately receive, stock, retrieve and load equipment and supplies. Work cooperatively with those contacted in the course of work. Ability to prioritize and manage competing priorities and tasks Independent decision making Computer skills including knowledge of Microsoft Office applications Physical Demands and Work Environment: Must be able to regularly lift and/or move up to 85 pounds, frequently lift and/or move up to 100 pounds, and occasionally lift and/or move up to 160 pounds Must be able to stretch, bend, stoop and crouch and perform moderate to heavy physical labor while moving equipment and supplies Subject to long periods of sitting and driving Work environment may be stressful at times, as overall work activities and work levels fluctuate May be exposed to unsanitary conditions in some home settings May be exposed to hazardous materials, loud noise, extreme heat/cold, direct, or indirect contact with airborne, bloodborne, and/or other potentially infectious pathogen May be exposed to high crime areas within the service community Must be able to drive independently and travel as needed May be exposed to angry or irate customers Must be able to access the patient's residence without assistance Ability to effectively communicate both verbally and written with customers with the ability to demonstrate empathy, compassion, courtesy, and respect for privacy. Requirements Minimum Job Qualifications: • High School Diploma or equivalency • Construction, general manual labor, military and equipment repair, or maintenance skills would be considered related experience • Valid and unrestricted driver's license in the state of residence Senior level requires two (2) years of work-related experience and one (1) year of exact job experience. AdaptHealth is an equal opportunity employer and does not unlawfully discriminate against employees or applicants for employment on the basis of an individual's race, color, religion, creed, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, or any other status protected by applicable law. This policy applies to all terms, conditions, and privileges of employment, including recruitment, hiring, placement, compensation, promotion, discipline, and termination.

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 Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. The Mission Our team works to understand how people behave on the road, understand the human driver, and understand how to interact with them. The Team Within the HAIL team, we use approaches from machine learning, robotics, and computer vision, along with insights from human factors literature, to devise new techniques that improve on the state of the art towards better machine understanding, prediction, and interactions with people in the driving domain, both in and around the vehicle. The Internship We are looking for motivated interns with excellent capabilities for research in various areas of AI around autonomous vehicles and related topics. Areas of interest include multi-agent modeling and human-robot interactions with emphasis on environments such as autonomous and semi-autonomous vehicles. Related topics include trajectory prediction, driver state and behavior understanding, activity recognition, shared control, as well as human-machine teaming/interaction and computational teaching of humans. In this project, we're looking at creating innovative approaches that reframe how driver and intelligent vehicles interact. Our overall goal is to create AI approaches that challenge more traditional approaches for prediction, planning, and interaction with the driver, and approach the interaction as longer-term human-AI teaming, including co-adaptation and teaching, with multiple research opportunities along the way. The project will be focused on researching a new approach in a specific sub-area of the overall goal, towards publication in a top-tier conference. Aside from the publication goal of the internship, the technology developed in the internship is crucial for next-generation safety systems, (semi-)autonomous driving systems, and novel robotic applications of the kind that TRI is helping create. The internship will be in our Cambridge, MA research center, where you will be working with strong researchers towards publications that matter, with many resources to utilize, and with competitive compensation for your hard and fun work. TRI internships promise a summer of research and problem-solving in areas of impact on autonomous driving, robotics, and society in general. Applicants with relevant publications in these fields and good collaboration skills are highly encouraged to apply. Responsibilities Perform research and publish in a relevant venue on relevant topics. Publication target venues include CVPR, ICRA, NeurIPS, and HRI, depending on the exact project outcome. Emphasis on how novel representations allow us to capture human characteristics and interact with humans towards long-term shared autonomy, in a data-efficient, robust, and explainable way. The exact topic is to be finalized with the mentor. Exploration of both computational and cognitive phenomena, working with a team of researchers to create new approaches for understanding, predicting, and interacting with humans. Work from approach inception and ideation to validation of the developed approaches. Qualifications Ph.D. Student in related fields - ML/AI, robotics, human-centric AI, or computer vision. Publication background in relevant venues in the field. Specific areas: Imitation/reinforcement learning (RL), control and decision theory, human behavior modeling and understanding, shared control, and computational tutoring. Frameworks: Pytorch/TensorFlow, and similar DL frameworks and tools. Coding: Python, experience working in a team on joint scientific projects. An ideal candidate can refine a topic and complete a scientific research plan in collaboration with the mentor and other researchers. Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Owens & Minor, we are a critical part of the healthcare process. As a Fortune 500 company with 350+ facilities across the US and 22,000 teammates in over 90 countries, we provide integrated technologies, products and services across the full continuum of care. Customers-and their patients-are at the heart of what we do. Our mission is to empower our customers to advance healthcare, and our success starts with our teammates. Owens & Minor teammate benefits include: Medical, dental, and vision insurance, available on first working day 401(k), eligibility after one year of service Employee stock purchase plan Tuition reimbursement The anticipated salary range for this position is $19.50 hourly. The actual compensation offered may vary based on job related factors such as experience, skills, education and location. ABOUT THE COMPANY Apria Healthcare's mission is to improve the quality of life for our patients at home. We are looking for empathetic, thoughtful, and compassionate people, to meet the needs of our patients. Already an industry leader in healthcare services, we provide home respiratory services and select medical equipment to help our patients sleep better, breathe better, heal faster, and thrive longer. Owens & Minor benefits are applicable to Full Time Regular and Permanent Teammates, and include: Medical, dental, and vision insurance, available on first working day 401(k), eligibility after 30 days of employment Employee stock purchase plan Tuition reimbursement Development opportunities to grow your career with a global company The anticipated salary range for this position is $16.66 - $21.00 hourly. The actual compensation offered may vary based on job related factors such as experience, skills, education and location. JOB SUMMARY Responsible for equipment set up and instruction while providing exceptional customer service. ESSENTIAL DUTIES AND RESPONSIBILITIES May have to communicate or interact with, assess, or treat patients of all ages. Documents all interaction with patients/customers in their record. Listens and resolves complaints and refers to the appropriate personnel as warranted. Preps for setups and sets equipment to prescribed therapy. Answer inquiries and follows up with patients regarding technical issues with equipment. Perform assessments/reassessments of each patient's care or service needs throughout the patient's contact with the organization including physical assessments; psychosocial assessments; functional assessments; and activity assessments. Formulate, revise; and maintain basic patient care plans based on physician orders and assessment findings including the identification of patient problems/needs, goals, and actions and interventions relating to the care or service provided when necessary. Monitor patient's response to the care or services provided, the actions or interventions taken, and the outcome of the care or service provided. Educate patients and other end users with relation to their home medical equipment use by covering operating features, warranty, and safety while providing demonstrations. Encourage patients with their therapy and compliance with equipment usage. Promote safe, effective patient and organizational environments and equipment use. Collects and processes payments from patients. Completion of all paperwork relating to delivery, pick up, exchange, repair/replace, and additional forms as deemed necessary. Performs other duties as required. SUPERVISORY RESPONSIBILITIES N/A Education and/or Experience High school diploma or general education degree (GED) required. Two years in person customer service interaction required. SKILLS, KNOWLEDGE AND ABILITIES Customer/Patient-Focused: You start with the customer/patient and work backwards. You invest the time and energy to understand the customer's/patients' objectives, then tie all your activities directly to the achievement of those objectives. Action-Oriented: You thrive as a self-starter who proactively senses and responds to problems and opportunities and requires minimal supervision. Collaborative: You love teamwork. Your colleagues love having you on the team. You work well across functions and groups. An Effective Communicator: You write and speak clearly, concisely and with a spirit of partnership. You actively inform and inspire with your messaging. You speak plainly and are transparent with your business colleagues. Energetic & Passionate: Your passion and energy for health and well-being is deeply founded in your desire to help others and to be a positive role model. Relationship Builder: You excel in getting people involved and building a network of contacts that allow you to multiply your influence on the organization. Certificates, Licenses, Registrations or Professional Designations N/A Computer Skills Intermediate skills in Access, Excel, PowerPoint, MS Project, Visio, Word Language Skills English (reading, writing, verbal) Mathematical Skills Intermediate level mathematical proficiency, with a strong ability to understand, interpret and develop spreadsheet data. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to sit and use hands to finger, handle, or feel. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 50 pounds. OTHER INFORMATION The essential duties and responsibilities, physical requirements, and work environment described above are representative of those typically required for this position but may vary depending on staffing and business needs at specific locations. The inclusion or omission of a specific duty or physical requirement is, therefore, not determinative of whether that function is essential to a specific individual's position. Reasonable accommodations will be provided to assist or enable qualified individuals with disabilities to perform essential functions. If you feel this opportunity could be the next step in your career, we encourage you to apply. Owens & Minor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, sexual orientation, genetic information, religion, disability, age, status as a veteran, or any other status prohibited by applicable national, federal, state or local law.

About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About the role We are looking for a System Safety Engineer with automotive background in ADAS and/or autonomous driving. This engineer will define and manage the safety architecture and requirements for both autonomy software and hardware. This engineer will play a critical role in shaping the technical direction of this project in the automotive industry space. At Applied Intuition, you will: Derive and manage safety concepts, requirements and specifications for autonomy software and hardware for L4 trucking Lead efforts for development of safety architecture Perform safety analysis and derive relevant safety work products Work with verification and validation to ensure requirements are being verified throughout the development process Contribute to the overall safety case of the final product Promote a culture of safety within the organization and provide training and guidance on safety practices Monitor and report on safety performance, and implement continuous improvement measures Provide clear goals for all areas of a project and develop steps to oversee their timely execution so that requirements can be met We're looking for someone who has: 5+ years of experience in a System Safety Engineering role MS/BS degree in Computer Science, Electrical, Mechanical Engineering or equivalent required Expertise in mechanical, electrical, and software engineering Experience with ADAS, autonomous systems and robotics Knowledge of existing standards and regulations relevant in the automotive industry, esp. ISO 26262, ISO 21448, ISO/DPAS 8800, UL4600 and ongoing activities with regards to ML and safety Knowledge of existing standards and regulations relevant in the automotive industry Knowledge of architectural design of ADAS/AV systems Experience with requirements validation and verification for subsystems as well as integrated system level components Mastery of strong collaboration with other teams, customers, and companies to ensure high quality deliverables Nice to have: Prior work in either autonomous vehicles or ADAS Project management and leadership experience in the AV industry Experience in the AV and robotics fields Experience with the safety of ML systems Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $118,000 - $220,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Description AdaptHealth Opportunity - Apply Today! At AdaptHealth we offer full-service home medical equipment products and services to empower patients to live their best lives - out of the hospital and in their homes. We are actively recruiting in your area. If you are passionate about making a profound impact on the quality of patients' lives, please click to apply, we would love to hear from you. Warehouse Technician (Driving) The Warehouse Technician will process orders, prepare items for shipment and receive incoming inventory. Where applicable also responsible for cleaning and disinfecting returned equipment, cleaning room maintenance, stocking and staging inventory, and inventory maintenance. The technician assists the supervisor or manager in pulling and loading equipment for delivery in addition to assembly of equipment when necessary, maintaining confidentiality and all other aspects of HIPAA compliance are essential in this job. Employees in this position may also be requested to deliver equipment to patients and/or facilities. Essential Functions and Job Responsibilities: Performs data entry in appropriate applications, updates shipping information, and tracks orders. Completes clerical tasks including faxing, scanning, filing, and general phone calls. Prepares shipping containers in advance and creates labels. Reviews itemized customer lists; locates and assembles outgoing merchandise to fulfill requests. Verifies contents of outgoing packages against invoices or bills of lading. Receives and opens merchandise shipments, processes packing slips or invoices, and safely stores items. Documents returned items and cleans equipment following the Branch Maintenance and Cleaning Guidelines Retains knowledge of and consistently adheres to procedures for the use of Personal Protective Equipment (PPE), infection control, and hazardous materials handling. Routinely cleans warehouse area pursuant to Standard Operating Procedure (SOP), discards waste material daily and maintains a clean facility. Assists in the stocking, tracking, and replenishment of inventory. Collects and delivers packages to the shipping area. Responsible for communicating actual and potential stock shortages or outages to the warehouse manager in a timely manner to assure adequate inventory level. Responsible for monitoring expiration dates to assure supplies are returned or re-inventoried per company guidelines. Delivering equipment (when requested): Follows Driving Policy and completes required driver training. Educate customers in proper use and care of respiratory and HME equipment in a home setting Complete written patient visits reports following setup and follow-up visits as required Assist with customer equipment problems under emergency conditions Process all orders in a timely, accurate manner Perform patient assessment and re-assessment for patient care Perform routine preventative maintenance and simple repairs on equipment as required in accordance with company policies Report equipment hazards and/or product incidents as required in accordance with company policies and procedures Assume on-call responsibilities during non-business hours in accordance with company policy Maintain patient confidentiality and function within the guidelines of HIPAA Completes assigned compliance training and other educational programs as required Maintains compliant with AdaptHealth's Compliance Program Perform other related duties as assigned Competency, Skills and Abilities: Equipment repair or maintenance skills Problem solving skills with attention to detail Ability to prioritize and manage multiple tasks Ability to clean, test and repair home medical equipment. Ability to identify safety hazards and take the necessary precautions Accurately receive, stock, retrieve and load equipment and supplies. Work cooperatively with those contacted in the course of work. Ability to prioritize and manage competing priorities and tasks Independent decision making Computer skills including knowledge of Microsoft Office applications Physical Demands and Work Environment: Must be able to regularly lift and/or move up to 85 pounds, frequently lift and/or move up to 100 pounds, and occasionally lift and/or move up to 160 pounds Must be able to stretch, bend, stoop and crouch and perform moderate to heavy physical labor while moving equipment and supplies Subject to long periods of sitting and driving Work environment may be stressful at times, as overall work activities and work levels fluctuate May be exposed to unsanitary conditions in some home settings May be exposed to hazardous materials, loud noise, extreme heat/cold, direct, or indirect contact with airborne, bloodborne, and/or other potentially infectious pathogen May be exposed to high crime areas within the service community Must be able to drive independently and travel as needed May be exposed to angry or irate customers Must be able to access the patient's residence without assistance Ability to effectively communicate both verbally and written with customers with the ability to demonstrate empathy, compassion, courtesy, and respect for privacy. Requirements Minimum Job Qualifications: • High School Diploma or equivalency • Construction, general manual labor, military and equipment repair, or maintenance skills would be considered related experience • Valid and unrestricted driver's license in the state of residence Senior level requires two (2) years of work-related experience and one (1) year of exact job experience. AdaptHealth is an equal opportunity employer and does not unlawfully discriminate against employees or applicants for employment on the basis of an individual's race, color, religion, creed, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, or any other status protected by applicable law. This policy applies to all terms, conditions, and privileges of employment, including recruitment, hiring, placement, compensation, promotion, discipline, and termination.

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. We are seeking Deep Learning Engineers with strong expertise in machine learning (ML) and deep learning (DL) system design, along with solid software development skills. In this role, you will research, implement, and evaluate a unified end-to-end onboard model leveraging state-of-the-art technologies, including transformer-based architectures, diffusion models, reinforcement learning, and Vision-Language-Action (VLA) models. You will collaborate with a world-class team of experts in computer vision, AI systems, and software engineering to push the boundaries of autonomous vehicle performance. Your work will be powered by vast amounts of real-world multimodal data from our autonomous fleet, enabling the development of next-generation AI-driven driving solutions. Job Responsibilities: Research and develop cutting-edge deep learning algorithms for a unified, end-to-end onboard model that seamlessly integrates perception, prediction, and planning, replacing traditional modular model pipelines. Research and develop Vision-Language-Action (VLA) models to enable context-aware, multimodal decision-making, allowing the model to understand visual, textual, and action-based cues for enhanced driving intelligence. Design and optimize highly efficient neural network architectures, ensuring they achieve low-latency, real-time execution on the vehicle's high-performance computing platform, balancing accuracy, efficiency, and robustness. Develop and scale an offline machine learning (ML) infrastructure to support rapid adaptation, large-scale training, and continuous self-improvement of end-to-end models, leveraging self-supervised learning, imitation learning, and reinforcement learning. Deliver production-quality onboard software, working closely with sensor fusion, mapping, and perception teams to build the industry's most intelligent and adaptive autonomous driving system. Leverage massive real-world datasets collected from our autonomous fleet, integrating multi-modal sensor data to train and refine state-of-the-art end-to-end driving models. Design, conduct, and analyze large-scale experiments, including sim-to-real transfer, closed-loop evaluation, and real-world testing to rigorously benchmark model performance and generalization. Collaborate with system software engineers to deploy high-performance deep learning models on embedded automotive hardware, ensuring real-world robustness and reliability under diverse driving conditions. Work cross-functionally with AI researchers, computer vision experts, and autonomous driving engineers to push the frontier of end-to-end learning, leveraging advances in transformer-based architectures, diffusion models, and reinforcement learning to redefine the future of autonomous mobility. Minimum Skill Requirements: MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience. Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics. 5 - 8 years + of experience working with DL frameworks such as PyTorch, Tensorflow. Strong Python programming experience with software design skills. Solid understanding of data structures, algorithms, code optimization and large-scale data processing. Excellent problem-solving skills. Preferred Skill Requirements: Hands on experience in developing DL based planning engine for autonomous driving. Experience in applying CNN/RNN/GNN, attention model, or time series analysis to real world problems. Experience in other ML/DL applications, e.g., reinforcement learning. Experience in DL model deployment and optimization tools such as ONNX and TensorRT. What do we provide: A fun, supportive and engaging environment Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving Opportunity to work on cutting edge technologies with the top talent in the field Competitive compensation package Snacks, lunches and fun activities The base salary range for this full-time position is $244,140-$413,160, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

ISEE is seeking a full-time electrical engineer to join our hardware team. The ideal candidate has several years of work experience. Role responsibilities include: - PCB layout, schematic design - Experience in embedded development, ARM cortex(STM32) - Communication protocols: CAN(J1939, CANOpen) SPI, I2C, serial port - Develop and support electrical architecture for special applications. - Create electrical drawings, schematics, assembly drawings and component layouts for electrical and electro-mechanical subsystem. - Understand vehicle architecture and functional schematic and develop reliable electrical component ensure operation safety. - Integrate vehicle with custom build components - Test, maintain and improve electrical system - Work with supplier and drive the implementation of development into production. Qualifications - Bachelor/Master Degree in Electrical Engineering - 5+ years of hands-on EE experience, must have direct experience in wire harnessing. - Interest in self-driving vehicle and robotics - Excellent communication skills - Experience with electrical drawings and parts management Preferred - Experience with motor control, IMU, GPS, and LIDAR - Robotics/autonomous experience is a plus

ISEE is seeking a full-time Technical Program Manager to join our team. The ideal candidate has previous work experience in both software/hardware program management. This person is often the point-person for the team and is known for getting things done. Responsibilities Structure schedules and milestones for new features and hardware builds and work with various engineering teams to deliver on these timelines; remove blockers and communicate risks and/or delays to leadership Be the point person/directly responsible individual for various key initiatives within various engineering teams Lead standups Project manage subcontractors and vendors Assist engineering teams with purchasing and procurement Coordinate the evaluation and purchasing of new tools Improve workflows and processes across hardware engineering to increase productivity Qualifications Bachelors degree in Computer Science or related Engineering 3+ years of relevant experience as a technical program manager Must have previously driven a product to launch Extremely detail oriented and follows up no matter how small the task Excellent communication skills: able to communicate complex ideas in an organized and coherent manner to a non-technical audience Robotics, AV, and startup experience preferred Previous work as an engineer working on engineering product development preferred

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 Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. The Team Within the Extreme Performance Intelligent Control team, we are developing techniques to advance vehicle safety and performance capabilities using tools from machine learning, optimization, and control theory. We are pursuing a cooperative approach to high-performance driving by developing predictive models and control frameworks for extreme vehicle maneuvering that match or exceed the skills of expert drivers. We envision a world where these tools allow each vehicle to support its driver, creating a safe and enjoyable experience for all. The Internship We are looking for a research intern to develop new perception, modeling, and/or control methodologies for high-performance driving that infer and reason about uncertainty. This is an opportunity to apply your knowledge to novel problems and develop impactful research. This paid, 12-week, Summer 2026 internship is a hybrid in-office role in our headquarters in Los Altos, CA, and will involve experiments with high-performance vehicles on a closed racetrack. Responsibilities Develop novel perception algorithms for high-performance driving. Implement, deploy, and evaluate models and algorithms on high-performance cars. Present results in verbal and written communications at international conferences and internally. Qualifications Ph.D. candidate working on related fields: robot perception, computer vision, robot learning, deep learning, or related fields. Proficiency in at least one of the following: Python, C++, ROS(2), Pytorch, CUDA, JAX. Familiarity in one of the following areas: semantic mapping, SLAM, and foundation models. Experience in deploying algorithms on real-world platforms. Excellent collaboration and communication skills. Strong interest in pushing the limits of robot autonomy. Strong publication records in top conferences and journals, including RSS, CVPR, ECCV, ICCV, ICRA, RA-L, NeurIPS, ICLR, etc. Bonus Qualifications Publications related to semantic mapping, neural distance fields, Gaussian Splatting. Publications related to SLAM, Lidar/Visual Odometry, and Structure from Motion. Publications related to foundational models. Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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.

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 Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. Team TRI's Optimization team applies mathematical optimization techniques to enhance all aspects of Toyota's business. Our current topics include mixed-integer optimization for factory logistics, diffusion models for engineering design, and the interplay between continuous optimization and Generative AI. About the Internship We are looking for a motivated intern to pursue new avenues of research consistent with the team's mission. This is an opportunity to apply your knowledge to novel research questions and work towards a publication with professional researchers. The internship will be in our Cambridge office and includes competitive compensation befitting the challenging, but fun, nature of the research work at TRI. Applicants with relevant publications in the fields above and good collaboration skills are highly encouraged to apply. Responsibilities Define project scope and agree on project direction with your mentor. Undertake a well-scoped research project in a relevant area and bring it to publication in an appropriate venue. Have a high level of self-initiative to prioritize and manage workload and meet project deadlines in a dynamic environment. Work and collaborate with other stakeholders and HID team members. Qualifications Current Ph.D. student in related fields - ML/AI, optimization, computer science, applied mathematics, or similar. Publication background in relevant venues (e.g. NeurIPS, ICML, ICLR, SIOPT, Math Programming). Proficient at Linux, PyTorch. Experience with distributed computing (e.g. AWS) a plus. Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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.

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 Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. The Team Within the Extreme Performance Intelligent Control team, we are developing techniques to advance vehicle safety and performance capabilities using tools from machine learning, optimization, and control theory. We are pursuing a cooperative approach to high-performance driving by developing predictive models and control frameworks for extreme vehicle maneuvering that match or exceed the skills of expert drivers. We envision a world where these tools allow each vehicle to support its driver, creating a safe and enjoyable experience for all. The Internship We are seeking a motivated intern to join our shared control driving team, focusing on cutting-edge research to ensure safe and effective human-AI collaboration for the next generation of advanced driver assistance systems. Potential research areas include developing novel planning and control algorithms to guarantee safety amid challenging driving scenarios, improving performance of existing shared control algorithms under uncertain conditions, and implementing data-driven/ML approaches to shared control with safety guarantees. This role provides an exciting opportunity to explore approaches to human-AI pairing that support safe, intuitive, and responsive shared driving systems. Along the way, you will apply your knowledge to tackle novel research questions and work towards a publication with professional researchers. The internship will be in our headquarters and includes competitive compensation, befitting the challenging but fun nature of the research work at TRI. Applicants with relevant publications in the fields above and good collaboration skills are highly encouraged to apply. Responsibilities Work with researchers to develop and then undertake a well-scoped research project in a relevant area. Extend existing controls/AI/ML algorithms or design new algorithms for shared control with a human driver at a vehicle’s performance limits. Explore approaches to formalize guarantees of safety for shared control algorithms. Implement algorithms on a full-scale vehicle research platform. Publish your original research at a high-impact conference. Qualifications Ph.D. or M.S. student in relevant fields - ML/AI, robotics, computer science, mechanical engineering, aerospace engineering, or similar. Proficient in scientific Python, robotic frameworks (e.g. ROS2.0). Proficiency in machine learning frameworks (e.g. PyTorch) are a plus. Knowledge of nonlinear system control, optimization, and machine learning. Vehicle dynamics knowledge is a plus. Experience working on joint scientific and engineering projects. Familiarity with or interest in racing or high-performance driving is a plus. Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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.

ISEE is seeking a full-time Sr Mechanical engineer to join our team. The ideal candidate has several years of work experience and has experienced the product lifecycle (prototyping, alpha design, beta design, production). Role responsibilities include: - Design and develop prototype hardware systems for production - Complete drawings and bill of materials for components and assemblies, and lead design reviews - Select materials, interact with suppliers and manufacturers, and design for manufacturing Qualifications: - Bachelors/Masters in Mechanical Engineering - 5+ years relevant industry experience designing products for production - Familiarity with GD&T and generation of engineering drawings and documentation - Familiarity with CAD Software (Solidworks, Fusion 360, Inventor), CAM processes (HSM Works, Fusion), and basic hand tool experience - Passionate about AI, robotics, and self-driving cars - Excellent communication skills - AV/Robotics/Logistics experience a plus

Inspire the future of STEM innovation—one learner at a time. Brandeis University’s Rabb School of Continuing Studies is seeking a creative and experienced academic to design and deliver a 10–15 hour online asynchronous micro credential course leading to a microcredential in Driving Innovation—Skills for ROI in STEM . In this fully remote, short-term role, you’ll create a high-impact learning experience that empowers STEM professionals to transform ideas into scalable, profitable, and ethically responsible solutions. Your course will give learners the tools to bridge creativity with business results—helping them design innovations that deliver measurable value in their organizations. What You Will Do As the Microcredential Course Developer, you will: Design structured, self-paced online modules (10–15 hours) that combine theory, real-world application, and interactive activities. Build assessments and rubrics that validate learners’ ability to turn innovative concepts into results. Create multimedia learning assets —case studies, simulations, and decision-making scenarios that reflect authentic STEM challenges. Ensure accessibility compliance (WCAG standards) and apply inclusive design principles. Collaborate with our instructional design team to enhance content clarity, navigation, and engagement. Recommend tools, readings, and frameworks that learners can immediately apply in their work. Integrate advanced learning features such as adaptive technology, AI avatars, discussion boards, and gamification. What You Bring Required Qualifications Master’s degree (Doctorate preferred) in engineering, innovation, instructional design, business, or related field. 2+ years’ professional experience in innovation, R&D, or product development within STEM industries. At least one year of higher education teaching experience, ideally in asynchronous online learning. Proficiency with innovation and collaboration tools (project management platforms, data analytics, visualization software). Strong organizational skills, communication abilities, and independent workflow management. Comfort with LMS platforms and digital authoring tools. Preferred Qualifications Experience designing online training programs or micro-credentials. Familiarity with Moodle LMS. Background in adult learning theory, cognitive design, or inclusive pedagogy. Details Fully remote (U.S.-based applicants only, no visa sponsorships) 6-week development timeline (~25 total hours) Compensation: $1,000 Ready to turn ideas into impact? Help STEM professionals innovate with intention, strategy, and measurable results. Apply now to join Brandeis University in creating a transformative learning experience. Pay Range Disclosure The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").