Member of Technical Staff - Post Training
South San FranciscoFull-timePosted 4d ago
About the role
Post-training research engineer/scientist at Warp Sciences focused on turning strong models into better products across robotics and foundation-model stacks, with an emphasis on evaluation-led development, data-driven improvements, and reinforcement learning.
Responsibilities
- Own the post-training loop from identifying a capability gap through evaluation, data development, training, deployment, and production feedback.
- Build evals grounded in product needs, with clear baselines and held-out tests that distinguish real progress from benchmark overfitting.
- Build experimentation systems that enable fast, reproducible hill climbing and make results easy to compare and diagnose.
- Develop and improve RL training methods, reward signals, rollout generation, and supporting infrastructure.
- Curate, generate, and refine training data based on model failures, evaluation results, and product feedback.
- Improve model behavior across Warp’s robotics and foundation-model stack, working closely with robotics, infrastructure, and product teams.
- Validate gains through ablations, robust comparisons, and testing beyond the training distribution.
- Ship improvements, measure their impact in production, and use what you learn to drive the next iteration.
Qualifications
- Experience working at the frontier of model capabilities, with meaningful personal ownership of post-training results.
- Demonstrated ability to achieve state-of-the-art results and substantiate them with rigorous evaluation against strong baselines.
- Deep practical experience with reinforcement learning, including reward design, rollout systems, training stability, and diagnosing failure modes.
- An eval-led approach: you define what success means before optimizing and scrutinize whether measured gains reflect the intended behavior.
- Strong data intuition, backed by experience identifying, creating, and selecting data that produces measurable improvements.
- Strong engineering skills and experience building reliable training and experimentation systems.
- A track record of shipping model improvements into real products and learning from deployment.
- An outcome-driven mindset: you follow the evidence, move quickly, and take responsibility for whether your work improves the product.
Skills
Required:Reinforcement learningEvaluation designData-centric developmentTraining and experimentation systemsProduct-focused experimentation
Benefits
- Not specified in the description.
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Warp Sciences
Warp Sciences | AI and robotics for faster drug discovery
Warp is the U.S. chemistry CRO helping scientists discover new medicines faster. We bring expert chemists, AI, and robotics together to make the molecules research teams need—and build automated labs that learn from every experiment.
AIroboticsdrug discoverychemistry CROautomation
More open roles at Warp Sciences
- Member of Technical Staff - Product Engineer4d agoSouth San Francisco · Software
- Scientist - Chemistry4d agoSouth San Francisco · Science
- Member of Technical Staff - Infrastructure4d agoSouth San Francisco · Software
- Member of Technical Staff - Robotics Mechanical4d agoSouth San Francisco · Robotics
- Robot Operator (Contractor)4d agoSouth San Francisco · Robotics