We are looking for a Member of Technical Staff (MTS - Research) 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. 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.
Debug and iterate across the full ML stack, from infrastructure to model behavior, ensuring our tools remain 'command-line first' and developer-friendly.
Collaborate: Work daily with the founders and research staff to shape the roadmap and push the state-of-the-art in AI reliability.

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.
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 setting.
ML Fluency: A principled understanding of foundation models, including how they are constructed, evaluated, and optimized.
Experience conducting research or technical experiments with a focus on reproducibility and data-driven results.

You can balance deep research exploration with the pragmatism needed to ship a product.
you identify gaps in the system, build the solution, and ensure it moves real-world metrics for frontier AI labs.
Prior experience with Reinforcement Learning (RLHF/RLAIF), simulation systems, or building long-horizon agentic environments.
A history of contributing to influential ML research (e.g., publications at NeurIPS, ICLR, ICML) or maintaining high-impact open-source projects.
Post-Training Experience: Experience fine-tuning or evaluating large-scale models to deliver 'frontier performance' on open-source benchmarks.

📌 Lab Technical Analyst (Bengaluru)
🏢 Collinear AI
📍 Bengaluru