Research Engineer - Meta Superintelligence Labs (Technical Leadership)

- Analyze post training results - Build agent harnesses - Build training data - Conduct search planning - Create agent environments - Curate training datasets - Deploy model updates - Design product relevant evaluations - Develop long horizon agent capabilities - Develop training and evaluation strategy - Enable full stack coding - Evaluate code implementation - Evaluate code understanding - Evaluate testing and debugging - Generate synthetic data - Identify capability gaps - Implement tool use - Integrate product feedback - Iterate on training runs - Lead cross-functional projects - Own end to end model improvement cycle - Personalize agent behavior - Run post training experiments - Take models from prototype to production - Translate product needs into research plans