ML Engineer

Only PhD candidates can apply

We are looking for a research engineer to join FAIR to work on LLM Agents for coding and research.

Will consider candidates who have experience training coding agents and turning LLM agents for code (or at least experience in adjacent areas and desires to learn this field)

Roles & Responsibilities

• Responsible for code generation LLMs, transformers for code, compilers or program analysis, and/or large-scale ML model training.
• The role centers on machine learning for code — including program optimization, verification, code reasoning, and software engineering agents built on LLMs.
• Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs)
• Responsible for designing architectures to make LLMs better at generalization and reasoning.

• PhD in Computer Science, Mathematics, Physics, or related field, with strong research or industry experience.
• Deep expertise in Python Programming Language
• Strong experience working with Large Language Models (LLMs)
• Experience with tools and frameworks for building and working with modern AI models (e.g., PyTorch, TensorFlow, Transformers, Hugging Face)
• Proven ability to lead complex and ambiguous technical projects from conception to completion.