Lead Research Scientist overseeing product development and documentation for liquid and injectable formulations at a global health company. Collaborating on innovative medicines at Apotex in Bangalore.
About the role
- Senior Research Scientist leading research efforts on reward models for AI. Shaping how models understand and optimize for human preferences with a focus on AI safety and capability.
Responsibilities
- Lead research on novel reward model architectures and training approaches for RLHF
- Develop and evaluate LLM-based grading and evaluation methods, including rubric-driven approaches that improve consistency and interpretability
- Research techniques to detect, characterize, and mitigate reward hacking and specification gaming
- Design experiments to understand reward model generalization, robustness, and failure modes
- Collaborate with the Finetuning team to translate research insights into improvements for production training pipelines
- Contribute to research publications, blog posts, and internal documentation
- Mentor other researchers and help build institutional knowledge around reward modeling
Requirements
- A track record of research contributions in reward modeling, RLHF, or closely related areas of machine learning
- Experience training and evaluating reward models for large language models
- Comfortable designing and running large-scale experiments with significant computational resources
- Work effectively across research and engineering, iterating quickly while maintaining scientific rigor
- Enjoy collaborative research and can communicate complex ideas clearly to diverse audiences
- Care deeply about building AI systems that are both highly capable and safe.
- Strong candidates may also have published research on reward modeling, preference learning, or RLHF
- Experience with LLM-as-judge approaches including calibration and reliability challenges
- Worked on reward hacking, specification gaming, or related robustness problems
- Experience with constitutional AI, debate, or other scalable oversight approaches
- Contributed to production ML systems at scale
- Familiarity with interpretability techniques as applied to understanding reward model behavior.
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
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