Job Summary
A company is looking for an Applied Research - RL & Agents professional.
Key Responsibilities
- Design and iterate on next-generation AI agents for workflow automation and decision-making
- Develop distributed systems and coordination frameworks for reliable agent operation
- Translate customer needs into technical requirements to guide product and research priorities
Required Qualifications
- Strong background in machine learning engineering, particularly in post-training and reinforcement learning
- Expertise in distributed training/inference frameworks (e.g., vLLM, Ray)
- Experience with deploying containerized systems at scale (Docker, Kubernetes)
- Track record of research contributions in machine learning or reinforcement learning
- Passion for advancing practical, agentic AI systems
Comments