
AI Researcher for Deep Reinforcement Learning
1 day ago
Develop and implement cutting-edge deep reinforcement learning algorithms to propel AI innovation.
- Lead the development of RL algorithms, collaborating with cross-functional teams to drive business growth.
- Collaborate on research projects, advancing the field of AI and its applications.
- Integrate state-of-the-art RL algorithms into existing systems, enhancing their efficiency and effectiveness.
Qualifications:
- Full-stack engineering expertise, from data engineering to model architecture, including RL and deployment.
- Performance engineering experience, identifying bottlenecks in RL training and optimizing system performance.
- Tuning reward functions, hyper-parameters, and exploration strategies to solve complex tasks using deep RL.
- 8+ years of Python programming experience, with a strong understanding of software development best practices.
Nice to Have:
- Advanced degree (MS or PhD) in Computer Science or related field, demonstrating expertise in AI and RL.
- Experience with k8s, docker, GPU Performance/systems engineering, and model inference, enabling seamless integration of AI models into production environments.
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