Applied Researcher - Forward-Deployed RL

The role

You will own applied RL programs from ambiguous customer problems through deployed improvement loops. You will work with customer researchers and engineers to build environments, run post-training experiments, and deploy results.

What you will do

• Turn workflows into tasks, environments, evaluations, and reward signals
• Run post-training experiments against real baselines and deploy results
• Work directly with customers, users, or research partners
• Perform technical and business discovery to produce research plans
• Conduct RL, distillation, and other post-training experiments
• Build agent systems that handle tool use, memory, recovery, and human oversight
• Convert recurring parts into reusable environments, recipes, or platform capabilities

Required qualifications

• Relevant experience in customer-embedded technical work, research engineering, technical founding experience, applied ML consulting, or end-to-end post-training programs
• Ability to connect experimental evidence to business decisions with senior external teams
• Hands-on experience building and debugging model-training, post-training, agent, evaluation, or adjacent experimental loops
• Strong experimental judgment
• Strong Python
• Ability to build artifacts that other researchers and engineers can run, inspect, and extend
• Comfort owning ambiguous problems

Nice to have

• Publications
• Open-source systems
• Benchmarks
• Shipped products

Benefits

• Cash Compensation Range of $150-300k + equity incentives
• Flexible Work
• Visa Sponsorship & relocation support
• Professional Development budget
• Team Off-sites & conference attendance

About the company

Prime Intellect is building the open superintelligence stack. The platform Lab unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment.