Research Engineer / Scientist, Post-Training
Benefits:
Paid in-person work trial
Experience Requirements:
Proficiency in Python and deep learning frameworks (PyTorch)
Expertise in post-training techniques (SFT, RL, reward models)
Proven track record of impactful research
Real-world impact beyond pure academic work
Other Requirements:
Ability to balance execution speed with empirical rigor
Ability to work in-person 5 days a week in San Francisco
Responsibilities:
Training models for better agentic tool-use
Designing mechanisms for continuous model weight updates
Designing and running experiments for data mixtures and models
Building infrastructure for generating synthetic data at scale
Building challenging evals for measuring agentic capabilities
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