Collinear AI

Collinear AI

MTS - Research

Sunnyvale, California · Staff+

Sponsorship not specified$160k-$400kDetected 176 days ago
PythonMachine LearningData EngineeringResearch

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 9 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You will work across domains including Computer Use, Enterprise MCP/Toolcalling and Coding.

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.
  • 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.
  • 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.
  • The base salary range for this role in California is $160,000 to $400,000 per year, depending on experience, skills, and qualifications.

Benefits

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

Company info

  • ABOUT COLLINEAR At Collinear, we help teams fearlessly ship AI.
  • 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.
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This listing is sourced directly from Collinear AI's careers page and normalized into a canonical job model.