Meta is seeking Research Engineers to join the Post-Training team within Meta Superintelligence Labs. 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.
Requirements
- 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
- Collaborate with external data vendors and domain experts to source, securely ingest, and prepare high-quality datasets in fields like STEM, finance, legal, and health
- Execute on the technical vision of research scientists to generate and filter high-quality synthetic data at scale
- Build robust, reusable data processing pipelines that scale across multiple model lines and product areas
- Contribute to tooling that measures and ensures the Quality, Diversity, and Safety of post-training datasets
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Bonus & Equity