Machine Learning Researcher at Astera Institute focusing on data - efficient and general model induction. Collaborating on innovative architectures with a focus on performance and throughput.
About the role
- AI Scientist focusing on Reinforcement Learning at Resaro, an AI Assurance company. Building frameworks for evaluating and auditing AI systems and ensuring deployment safety.
Responsibilities
- Execute a dedicated work plan to build frameworks that evaluate the performance, safety, and alignment of RL agents
- Use Bayesian ML models (GPs, BNNs) to create metrics for model confidence and risk
- Design and set up the debugging and automated testing frameworks required to evaluate non-deterministic systems
- Perform "red-team" tests and benchmarks on models using Trust Region methods (PPO) and RL from Human Feedback (RLHF)
- Work across the entire stack, from environment interfacing to policy optimization, with the opportunity to grow into Multi-Agent RL (MARL) technologies
Requirements
- Strong proficiency in Python, NumPy, and PyTorch
- A background in ML theory, Mathematics, or Physics
- Experience with Bayesian ML models (e.g., Gaussian Processes, Bayesian Neural Networks)
- Practical experience or familiarity with Trust Region methods (PPO) and RL from Human Feedback (RLHF)
- Proven ability in debugging and setting up automated testing frameworks.
Benefits
- Hybrid work arrangement
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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