MTS - Research

Collinear helps teams fearlessly ship AI. The MTS - Research team member will build high-fidelity environments, evaluation stacks, and frontier data engines for AI agents across computer use, enterprise toolcalling, and coding. The role involves developing simulations and verification systems, running post-training experiments, analyzing model failure modes, and collaborating with founders and research staff.

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
• Work on analyzing model failure modes and creating frontier data pipelines which scale with test-time compute