Research Engineer, SysML (AI)

TL;DR

Research Engineer, SysML (AI): Conducting machine learning systems research and designing scalable ML architectures with an accent on training performance and distributed training. Focus on enabling learning semantics of multimodal data and optimizing hardware-software co-design for AI models.

Location: Menlo Park, CA or Remote within the US

Salary: $141k–$208k (estimate)

Company

FAIR (Fundamental AI Research) is a leading research organization focused on advancing the state of the art in artificial intelligence.

What you will do

• Carry out machine learning systems research and collaborate on research plans and results.
• Design and optimize scalable machine learning systems and training performance systems.
• Devise data-driven AI system models and enable at-scale distributed training.
• Develop methodologies to enable learning semantics of multimodal data.
• Publish research results in top-tier venues.

Requirements

• Location: Must be based in the US
• Proficiency in Python, PyTorch, and low-level languages like C++ or Rust.
• Experience with distributed training and scalable ML systems.
• Strong understanding of computer architecture and hardware-software co-design.
• Knowledge of CUDA-related libraries such as CUBLAS and CUDNN.

Nice to have

• Contributions to open-source AI projects.
• Experience with prompt engineering and agent orchestration.
• Background in responsible AI and bias mitigation.