Meta is seeking Research Engineers to join the Post-Training team within Meta Superintelligence Labs. High-quality data is the engine of AI progress at MSL, determining the capabilities we can unlock and how fast our models improve.
What you'll do
As a Research Engineer on this team, you will build the pipelines to collect, generate, and refine the post-training data for our most advanced AI models. You'll work alongside world-class researchers and engineers to develop scalable systems for both human-in-the-loop data collection and automated synthetic data generation.
- Design, build, and scale full-stack data collection pipelines for post-training (SFT, RLHF) across text, vision, and action modalities
- Develop and implement environments to capture complex agentic trajectories, including computer use agents, Deep research workflows, UI generation, and shopping agents
What you need
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Proficiency in Python and experience with ML frameworks such as PyTorch
