Research Engineer: Post-Training & Agentic RL Platforms

Storm3; San Francisco (CA); Hybrid; USD 250,000 - 400,000; Full time

Benefits offered by this job

Relocation package

Competitive salary

Medical, dental, and vision insurance

Job summary

Fundamental AI Research Institute in the San Francisco Bay Area is seeking a Research Engineer – Post-Training, Agents, Evals to advance LLM post-training and agentic infrastructure. This hybrid role focuses on building RL environments, evaluation harnesses, and scalable post-training platforms to accelerate cutting-edge research.

The candidate will contribute to deployment of large-scale models, publish results, and collaborate with top researchers.

Qualifications

• PhD in CS/ML/Maths preferred.
• Strong publication record in top conferences, or contribution to leading AI models, datasets and benchmarks.
• 2+ years industry experience, focused on RL, Evals, Reasoning, Agents or AI infra.

Responsibilities

• Build and scale the post-training platform and RL infrastructure, including developing agentic and evaluation harnesses
• Develop benchmarks and evaluations for reasoning and agentic capabilities
• Contribute towards deployment and productionization of large-scale models
• Publish breakthrough findings and reports in top conferences

Skills

RL environments

Evaluation harnesses

Agentic infrastructure

Post-training platforms

Education

PhD in CS / ML / Maths

Job description

Fundamental AI Research Institute in the San Francisco Bay Area is seeking a Research Engineer – Post-Training, Agents, Evals to advance LLM post-training and agentic infrastructure. This hybrid role focuses on building RL environments, evaluation harnesses, and scalable post-training platforms to accelerate cutting-edge research.

The candidate will contribute to deployment of large-scale models, publish results, and collaborate with top researchers.