Advanced Reinforcement Learning Engineer
2 days ago
Develop and optimize Reinforcement Learning models for enterprise-scale applications. Explore and evaluate advanced algorithms to enhance capabilities of Large Language Models (LLMs), Visual Language Models (VLMs), and Agentic AI.
This role requires a strong theoretical foundation in Reinforcement Learning, covering policy optimization, reward modeling, and planning. Pair this with engineering skills to build scalable production systems.
- Design and implement efficient Reinforcement Learning algorithms.
- Collaborate with cross-functional teams to integrate model outputs into larger systems.
- Conduct thorough testing and validation of developed models.
Key Requirements:
- Strong theoretical knowledge of Reinforcement Learning concepts.
- Proficiency in programming languages such as Python or Java.
- Experience with large-scale data processing and machine learning frameworks.
- Ability to work effectively in a team environment.
Benefits:
- Opportunity to work on cutting-edge technologies and contribute to the development of innovative products.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
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