Researcher, Synthetic RL
Develops novel reinforcement learning techniques using synthetic environments and feedback to enhance large-scale AI models. Designs experiments, analyzes dynamics, and integrates research into production systems; requires strong RL/ML background and engineering skills.
About the job
In this role, you will:
- 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
You might thrive in this role if you:
- 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
Skills
Reinforcement Learning, Machine Learning, Python, Statistical Analysis, Experiment Design, Synthetic Data, Self-Play, Simulators, Ai Training Pipelines, Research
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