Hiring: Member of Technical Staff Company: Collinear AI Location: Sunnyvale, CA Job Posted Time: 2026-09-12 18:01:25 Target Skills & Keywords : Fine-tuning, Make, Move, Python, Reinforcement Learning About the job Required Skills: •We are looking for •MTS - Research •team member to help us build the data engine for frontier AI. You will develop the high-fidelity environments and evaluation stacks that the world’s leading AI labs rely on to stress-test their most advanced agents. You will work across domains including Computer Use, Enterprise MCP/Toolcalling and Coding. Verifier Design, Simulated Personas, Benchmarking Personal AGI are some of the research areas we work on. •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. Qualifications: •We are looking for individuals who demonstrate a rare combination of technical depth, research intuition, and high agency. •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. •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. •ML Fluency: •A principled understanding of foundation models, including how they are constructed, evaluated, and optimized. •Empirical Mindset: •Experience conducting research or technical experiments with a focus on reproducibility and data-driven results. •What will make you stand out •Research Taste: •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. •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. •Domain Expertise: Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!