Collinear AI

Collinear AI

MTS - Research Scientist Internship

Sunnyvale, California · Intern · Internship

Sponsorship not specifiedDetected 32 days ago
PythonMachine LearningData EngineeringResearch

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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Start dates are flexible and can be extended.
  • You will work across domains including Computer Use, Enterprise MCP/Toolcalling and Coding.
  • Work on analyzing model failure modes and creating frontier data pipelines which scale with test-time compute.

Responsibilities

  • Build Agentic Environments: Design and implement the next generation of "SimLabs", ultra-realistic, long-horizon simulation environments where agents learn to navigate ambiguity and maintain context.
  • Programmatic and Agentic Verification: Develop rigorous, policy-aware judges and evaluations that measure genuine capability and safety beyond simple benchmarks.
  • Close the Loop: Design and execute high-quality post-training runs (CPT, SFT, RL) to deliver frontier performance on open-source models using curated, high-signal data.
  • Collaborate: Work daily with the founders and research staff to shape the roadmap and push the state-of-the-art in AI reliability.
  • Create. Work on analyzing model failure modes and creating frontier data pipelines which scale with test-time compute.
  • Engineering Rigor: A strong foundation in software engineering with the ability to build robust, scalable infrastructure. You should be comfortable in a Python-friendly, CLI-first development environment.
  • Impact-Driven Agency: You care about outcomes, not just activity. You don't wait for a ticket; you identify gaps in the system, build the solution, and ensure it moves real-world metrics for frontier AI labs.
  • Post-Training Experience: Experience fine-tuning or evaluating large-scale models to deliver "frontier performance" on open-source benchmarks.
  • Own the Frontier: Work on the most pressing problem in AI today: making agents reliable enough for production.
  • Collinear's Internship program is designed for PhD students who are eligible to do a 12-week internship.

Requirements

  • A Bachelor's, Master's, or PhD in a technical field (CS, Math, Physics, etc.), or a demonstrated "proof of work" through significant open-source contributions or industry experience.
  • Experience conducting research or technical experiments with a focus on reproducibility and data-driven results.
  • You have a strong intuition for identifying what matters in complex problem spaces.
  • You can balance deep research exploration with the pragmatism needed to ship a product.
  • Domain Expertise:
  • Proven Track Record:
  • Technical Foundation: A Bachelor's, Master's, or PhD in a technical field (CS, Math, Physics, etc.), or a demonstrated "proof of work" through significant open-source contributions or industry experience.

Compensation

  • We offer competitive salary and equity packages to ensure we attract the best of the best.

Benefits

  • Domain Expertise: Prior experience with Reinforcement Learning (RLHF/RLAIF), simulation systems, or building long-horizon agentic environments.

Company info

  • We are looking for individuals who demonstrate a rare combination of technical depth, research intuition, and high agency.
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