Description

Responsibilities:

• 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.

Requirements:

• 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
• Top 3 must-have HARD skills:          
• Experience working on developing Generative AI or AI or ML systems
• Good to have skills:    
• Experience working on data curation pipelines for Generative AI models
• Experience working with distributed systems tools like Slurm, Ray or VLLM.
• Master’s degree in field

Key Skills

Education

Any Graduate