Applied AI Scientist – Frontier Research & Systems (Remote)

EducationPals; San Francisco, New York (CA, NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

EducationPals in San Francisco is seeking researchers for Applied Research – Scientific AI. The role focuses on depth in reinforcement learning, agents, or post-training systems to help build an open superintelligence stack.

You will run experiments, craft reusable Python artifacts, and clearly document results. Experience in ML for science and reproducible research is valued, with a track record in publications or open-source work.

Qualifications

• Depth in RL, agents, or post-training systems.
• Hands-on experience building and debugging model-training loops.
• Strong experimental judgment with clear failure attribution.
• Evidence of exceptional work, including publications or open-source work.

Responsibilities

• Design and run experiments to advance the open superintelligence stack.
• Build and share Python artifacts that researchers and engineers can run.
• Analyze results, compare baselines, and trace failures to causes.
• Communicate findings and adapt direction as evidence evolves.

Skills

RL

Agents

Post-training

Python

Experimental judgment

Publications

Open-source

Job description

EducationPals in San Francisco is seeking researchers for Applied Research – Scientific AI. The role focuses on depth in reinforcement learning, agents, or post-training systems to help build an open superintelligence stack.

You will run experiments, craft reusable Python artifacts, and clearly document results. Experience in ML for science and reproducible research is valued, with a track record in publications or open-source work.