Applied Research - RL & Agents

<strong>Building the Open Superintelligence Lab</strong><br>Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.<br><br>We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.<br><strong>Role Impact</strong><br><br>This is a customer facing role at the intersection of cutting-edge RL/post-training methods and applied agent systems. You'll have a direct impact on shaping how advanced models are aligned, deployed, and used in the real world by:<br><ul><li><strong>Advancing Agent Capabilities</strong>: Designing and iterating on next-generation AI agents that tackle real workloads-workflow automation, reasoning-intensive tasks, and decision-making at scale.</li><li><strong>Building Robust Infrastructure</strong>: Developing the distributed systems and coordination frameworks that enable these agents to operate reliably, efficiently, and at massive scale.</li><li><strong>Bridge Between Customers & Research</strong>: Translate customer needs into clear technical requirements that guide product and research priorities.</li><li><strong>Prototype in the Field</strong>: Rapidly design and deploy agents, evals, and harnesses alongside customers to validate solutions.</li></ul><br><strong>Customer-Facing Engineering</strong><br><ul><li>Work side-by-side with customers to deeply understand workflows and bottlenecks.</li><li>Prototype agents and eval harnesses tailored to real use cases, then hand off hardened systems to core teams.</li><li>Translate customer insights into roadmap and research direction.</li></ul><br><strong>Post-training & Reinforcement Learning</strong><br><ul><li>Design and implement novel RL and post-training methods (RLHF, RLVR, GRPO, etc.) to align large models with domain-specific tasks.</li><li>Build evaluation harnesses and verifiers to measure reasoning, robustness, and agentic behavior in real-world workflows.</li><li>Prototype multi-agent and memory-augmented systems to expand capabilities for customer-facing solutions.</li></ul><br><strong>Agent Development & Infrastructure</strong><br><ul><li>Rapidly prototype and iterate on AI agents for automation, workflow orchestration, and decision-making.</li><li>Extend and integrate with agent frameworks to support evolving feature requests and performance requirements.</li><li>Architect and maintain distributed training/inference pipelines, ensuring scalability and cost efficiency.</li><li>Develop observability and monitoring (Prometheus, Grafana, tracing) to ensure reliability and performance in production deployments..</li></ul><br><br><strong>Requirements</strong><br><ul><li>Strong background in machine learning engineering, with experience in post-training, RL, or large-scale model alignment.</li><li>Deep expertise in distributed training/inference frameworks (e.g., vLLM, sglang, Ray, Accelerate).</li><li>Experience deploying containerized systems at scale (Docker, Kubernetes, Terraform).</li><li>Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL.</li><li>Passion for advancing the state-of-the-art in reasoning and building practical, agentic AI systems.</li></ul><br><br><strong>What We Offer</strong><br><ul><li><strong>Competitive Compensation</strong> + equity incentives</li><li><strong>Flexible Work</strong> (remote or San Francisco)</li><li><strong>Visa Sponsorship</strong> & relocation support</li><li><strong>Professional Development</strong> budget</li><li><strong>Team Off-sites</strong> & conference attendance</li></ul><strong>Growth Opportunity</strong><br><br>You'll join a mission-driven team working at the frontier of open, superintelligence infra. In this role, you'll have the opportunity to:<br><ul><li>Shape the evolution of agent-driven solutions-from research breakthroughs to production systems used by real customers.</li><li>Collaborate with leading researchers, engineers, and partners pushing the boundaries of RL and post-training.</li><li>Grow with a fast-moving organization where your contributions directly influence both the technical direction and the broader AI ecosystem.</li></ul><br>If you're excited to move fast, build boldly, and help define how agentic AI is developed and deployed, we'd love to hear from you.<br><br><strong>Ready to build the open superintelligence infrastructure of tomorrow?</strong><br>Apply now to help us make powerful, open AGI accessible to everyone.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...

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