AI Research Engineer

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.

This posting is for a contract assignment with Tundra Technical Solutions to provide services to Meta.

The pay range that Tundra in good faith reasonably expects to pay for this position is $65/hour - $75/hour.

Tundra’s benefits offering includes optional medical, dental, vision, retirement benefits, up to 15 Days PTO per annum and a New Child Benefit.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

The Meta CWX Program is enabled by a cutting-edge software platform called TalentNet that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.

At Meta, we are constantly iterating, solving problems, and working together to connect people all over the world. That’s why it’s important that our workforce reflects the diversity of the people we serve. Hiring people with different backgrounds and points of view helps us make better decisions, build better products, and create better experiences for everyone.

We give people the power to build community and bring the world closer together. Our products empower more than 3 billion people around the world to share ideas, offer support, and make a difference.

This posting is for a contract assignment with Tundra Technical Solutions to provide services to Meta. Please note that this is not a full-time employment opportunity. Candidates selected for this role will be engaged as contractors for the specified duration of the project. For any inquiries regarding the terms of the contract or engagement, please contact Tundra Technical Solutions directly.