
Dynamic AI Research Professional
3 days ago
Develop and implement state-of-the-art RL algorithms to drive innovation in the field of artificial intelligence.
As a key member of our team, you will work collaboratively on research projects and integrate these algorithms into existing systems.
This is an exciting opportunity for a highly skilled AI Research Engineer specializing in Reinforcement Learning (RL) to take their expertise to the next level.
The ideal candidate will have extensive experience in full-stack engineering, from data engineering to model architecture, including RL and deployment.
Key Qualifications:
- Expertise in full-stack engineering covering data engineering, model architecture, RL, and deployment.
- Experience with performance engineering and identifying bottlenecks in RL training.
- Ability to tune reward functions, hyper-parameters, and exploration strategies to solve complex tasks with deep RL.
- 8+ years of Python programming experience.
Nice to Have:
- Advanced degree in Computer Science or related field.
- Experience with k8s, docker, GPU Performance/systems engineering, and model inference.
Benefits
As a member of our team, you can expect a collaborative and dynamic work environment that fosters growth and development. We are committed to supporting our employees in achieving their career goals and providing opportunities for professional advancement.
Join us in shaping the future of artificial intelligence and making a lasting impact in the industry.
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