Leader in AI Research and Development
1 day ago
The role of AI Research Engineer in Reinforcement Learning is a full-time remote position responsible for developing and implementing state-of-the-art RL algorithms, collaborating on research projects, and integrating these algorithms into existing systems.
Key Responsibilities:
- Design and develop cutting-edge RL algorithms for solving complex tasks.
- Collaborate with cross-functional teams to integrate RL algorithms into existing systems.
- Develop and implement performance engineering strategies to optimize RL training.
- Conduct thorough analysis of RL system bottlenecks and provide recommendations for improvement.
Required Qualifications:
- 8+ years of Python programming experience.
- Full-stack engineering skills, including data engineering, model architecture, RL, and deployment.
- Experience with tuning reward functions, hyper-parameters, and exploration strategies.
- Strong understanding of deep RL concepts and techniques.
Nice to Have:
- Advanced degree (MS or PhD) in Computer Science or related field.
- Experience with k8s, docker, GPU Performance / systems engineering, and model inference.
What We're Looking For:
As an AI Research Engineer in Reinforcement Learning, you will have the opportunity to work on cutting-edge research projects, collaborate with talented engineers, and contribute to the development of innovative RL solutions. If you are passionate about RL and have a strong background in computer science, we encourage you to apply.
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