Applied Research Engineer - Reinforcement Learning & Agents - Remote

Overview

Prime Intellect is building the open superintelligence stack, enabling researchers and enterprises to run end-to-end reinforcement learning at frontier scale. This role focuses on advancing agent capabilities and developing robust infrastructure.

In Short

• Design and iterate on next-generation AI agents.
• Develop distributed systems for agent operation.
• Translate customer needs into technical requirements.
• Rapidly prototype and deploy agents with customers.
• Implement novel RL and post-training methods.
• Build evaluation harnesses for measuring agent performance.
• Prototype multi-agent systems for enhanced capabilities.
• Maintain distributed training and inference pipelines.
• Develop observability tools for production deployments.
• Collaborate with customers to understand workflows.

Requirements

• Strong background in machine learning engineering.
• Expertise in distributed training frameworks.
• Experience with containerized systems (Docker, Kubernetes).
• Track record of research contributions in ML/RL.
• Passion for advancing agentic AI systems.

Benefits

• Competitive compensation and equity incentives.
• Flexible work options (remote or San Francisco).
• Visa sponsorship and relocation support.
• Professional development budget.
• Team off-sites and conference attendance.