Research and develop reinforcement-learning driving planners, from policy design and simulation training to closed-loop evaluation, failure analysis, and validation of improvements on real vehicles.
The successful applicant will develop algorithms for gravitational wave data analysis and contribute to NASA's Science Ground Segment efforts while mentoring interdisciplinary teams.
Develop and optimize analytical methods, execute biochemical testing, troubleshoot assays and instruments, and communicate data-driven findings while supporting compliant laboratory operations and cross-functional project delivery.
Post-train open-source LLMs for specialized customer tasks by turning domain-specific data into reward functions, agent environments, evaluations, and training pipelines that improve production models.
As a Research Scientist, you'll advance frontier AI by creating high-quality data and environments, optimizing pipelines, and collaborating with experts to enhance model performance.
