About the job
As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You’ll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems.
Responsibilities
Research and develop reinforcement learning algorithms
Design and run experiments to study training dynamics and model behavior at scale
Collaborate with engineers and researchers to integrate successful approaches into model training pipelines
Qualifications
Minimum
Have a strong background in reinforcement learning, machine learning research, or related fields
Have strong engineering and statistical analysis skills
Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving
Are motivated by seeing research ideas influence real-world AI systems
Preferred
Have a strong background in reinforcement learning, machine learning research, or related fields
Have strong engineering and statistical analysis skills
Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving
Are motivated by seeing research ideas influence real-world AI systems