MTS - Research Scientist Internship
Collinear AIOn-siteDirect career pageEst. 12–30 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement ultra-realistic, long-horizon simulation environments ("SimLabs") for advanced AI agents.
- Develop policy-aware verification and evaluation systems measuring capability and safety beyond benchmarks.
- Execute and design post-training runs to achieve frontier performance on open-source AI models using high-quality data.
Minimum Requirements
- Eligible to undertake a 12-week internship as a PhD student (start dates flexible).
- Technical foundation in CS, Math, Physics, or equivalent demonstrated work (Bachelor’s/Master’s/PhD or proven experience).
- Strong software engineering skills, especially in Python and scalable, robust infrastructure development.
- ML knowledge including foundation models' construction, evaluation, and optimization.
Ideal Candidate Profile
- Demonstrates research intuition and technical depth with experience in building agentic environments or reinforcement learning (RLHF/RLAIF).
- Has a history of impactful ML research or maintaining influential open-source projects, e.g., publications at NeurIPS, ICLR, or ICML.
- Experience with fine-tuning and evaluating large-scale models to deliver frontier performance on open-source benchmarks.