
RL Research Engineer Position Available
3 days ago
Our organization seeks a highly skilled Reinforcement Learning Research Engineer to spearhead the development and implementation of cutting-edge RL algorithms.
Key Responsibilities:- Design, implement, and deploy state-of-the-art RL algorithms to drive business growth.
- Collaborate with cross-functional teams on research projects to advance the field of Reinforcement Learning.
- Develop and maintain comprehensive documentation of RL methodologies and results.
For this role, we require:
Required Skills and Qualifications:- Expert-level proficiency in Python programming (8+ years).
- Hands-on experience with performance engineering, including identifying bottlenecks in RL training.
- Strong understanding of reward functions, hyper-parameters, and exploration strategies for complex tasks using deep RL.
- Full-stack engineering expertise, from data engineering to model architecture and deployment.
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.
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