Applied Research Scientist Internship: Frontier AI & SimLabs

Collinear AI, Inc.; Sunnyvale (CA); On-site; USD 33,000 - 67,000; Part time

Job summary

Collinear AI, Inc. offers a 12-week internship for PhD students to contribute to frontier AI data engines. The MTS - Research Scientist (Applied Scientist) role focuses on developing ultra-realistic simulation environments and evaluation stacks used by leading AI labs.

You will collaborate with the founders and research staff to shape the roadmap, design agentic environments, and verify models with high-signal data and post-training runs.

Qualifications

• Bachelor’s, Master’s, or PhD in a technical field (CS, Math, Physics, etc.).
• Strong software engineering with Python-friendly, CLI-first development environment.
• Fundamental understanding of foundation models and model evaluation.

Responsibilities

• Build Agentic Environments: design and implement next-gen simulation environments.
• Programmatic and Agentic Verification: develop policy-aware judges and evaluations.
• Close the Loop: run post-training assessments to deliver frontier performance on open-source models.
• Collaborate: work with founders and research staff to shape the roadmap.
• Create: analyze model failure modes and build scalable data pipelines.

Skills

Python

Software engineering

ML foundations

Research experience

Education

PhD in CS/Math/Physics

Master's degree in technical field

Bachelor's degree in technical field

Tools

Git

Job description

Collinear AI, Inc. offers a 12-week internship for PhD students to contribute to frontier AI data engines. The MTS - Research Scientist (Applied Scientist) role focuses on developing ultra-realistic simulation environments and evaluation stacks used by leading AI labs.

You will collaborate with the founders and research staff to shape the roadmap, design agentic environments, and verify models with high-signal data and post-training runs.