Collinear AI

Collinear AI

Research Scientist/ Research Engineer

Sunnyvale, California · Staff+

Sponsorship not specified$160k-$350kDetected 83 days ago
PythonMachine LearningResearch

About the role

  • In this role, you will bridge the gap between frontier research and production engineering.
  • Your work will involve iterating on novel RL approaches and translating them into robust, scalable infrastructure that moves the needle on real-world model metrics.

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 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.
  • 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.

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.
  • 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.
  • 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.
  • Research Taste: You have a strong intuition for identifying what matters in complex problem spaces.

Compensation

  • We offer competitive salary and equity packages to ensure we attract the best of the best.
  • The base salary range for this role in California is $160,000 to $350,000 per year, depending on experience, skills, and qualifications.

Benefits

  • We do not discriminate on the basis of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.
  • This role will also be eligible for equity, benefits, and bonuses.
  • 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.

Equal opportunity

  • Collinear is an equal opportunity employer and values diversity.
  • If you need an accommodation, please contact us.
  • equal opportunity employer and values diversity.
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This listing is sourced directly from Collinear AI's careers page and normalized into a canonical job model.