Software Engineering - Algorithm Developer II

AI engineer with 2-4 years of experience in LLMs, foundation models, data research who can conduct independent implementation and engineering works.Remote - EST/CST Preferred

The role is an AI engineer in the FAIR team to execute its engineering tasks. The team aims at driving innovation towards superintelligence from the perspective of data curation algorithms for perception, better modeling of spatial and temporal knowledge, and more efficient research tools. We work on research in various modalities (e.g., CV, NLP, embodied AI) and build large scale foundation data and models with high quality and diversity. In this role, you will be embedded into the team and other FAIR collaborators to convert ideas into implementation and solutions. You will build new algorithms, new functionalities, and new architectures in our research platforms. You will participate in the team publication effort to turn works into broad research outcomes and push the research frontier in superintelligence.

Research assistant/engineer

• 2-4 years of experience in LLMs, foundation models, data research who can conduct independent implementation and engineering works.
• Supporting researchers and FTEs to implement advanced research systems and technologies on cloud, in the domain of AI and machine perception
• Collaborate with cross-functional engineering and research teams in FAIR in computer vision and machine learning
• Play a crucial role in the definition and execution of system implementation roadmaps

Minimum Qualifications

• Two years of experience in one or more of the following areas: Deep Learning, Computer Vision, LLMs, Machine Learning or Artificial Intelligence
• One or more years of experience in C/C++, Python or Rust
• Bachelor's degree in Computer Science, NLP, Computer Vision, Machine Learning or a related technical field
• Experience developing computer vision algorithms or computer vision infrastructure in C/C++, Python or Rust
• Experience in deep learning and PyTorch: basic level of understanding

Preferred Qualifications

• Experience with distributed systems algorithm development
• Industry experience working on projects such as: image/video generation
• MSc or PhD degree in Computer Science, Computer Vision, Machine Learning or related technical field

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.