Forward-Deployed RL Research Engineer — Remote

fde; San Francisco, New York (CA, NY); Remote; USD 150,000 - 300,000; Full time

Job summary

Prime Intellect is seeking a Forward-Deployed RL researcher to own end-to-end applied reinforcement-learning programs for external customers. You will scope workflows and success metrics, build environments and evaluations, run post-training experiments, and deploy what works, feeding reusable pieces back into our platform.

The role is client-facing with a strong research emphasis. Location options include San Francisco, New York, London, or remote, with compensation in the $150K–$300K cash

Qualifications

• Experience building RL environments and running experiments.
• Ability to deploy models and feed reusable components into platforms.
• Strong client-facing communication.

Responsibilities

• Own applied reinforcement-learning programs end to end with external customers.
• Scope the workflow and success metrics for RL projects.
• Build environments and evals, run post-training experiments, and deploy what works.
• Feed reusable pieces back into Prime Intellect's platform.

Skills

Reinforcement learning

Research focus

Client-facing

Job description

Prime Intellect is seeking a Forward-Deployed RL researcher to own end-to-end applied reinforcement-learning programs for external customers. You will scope workflows and success metrics, build environments and evaluations, run post-training experiments, and deploy what works, feeding reusable pieces back into our platform.

The role is client-facing with a strong research emphasis. Location options include San Francisco, New York, London, or remote, with compensation in the $150K–$300K cash