Post-Training Research Scientist (LLMs) — Experimental Track

• Design and run post-training experiments on frontier and open-weight LLMs (SFT, preference-based methods, rubric-driven training)
• Translate raw annotation artifacts (multi-step solutions, evaluations, adversarial prompts) into training-ready datasets.
• Prototype new reward signals beyond pairwise preferences (rubrics, constraints, structured critics).
• Analyze failure modes; propose data-centric fixes (sampling, curriculum, counterfactuals).
• Build lightweight training/eval pipelines; iterate quickly.
• Produce short internal memos: what worked, what didn’t, why.

About you

We’re looking for a researcher who thrives with autonomy, is hands-on, and brings a strong execution mindset and startup mentality. You are opinionated about data quality, pragmatic about tradeoffs, and comfortable moving quickly with incomplete information. You have strong experimental instincts — you can design, run, and interpret messy experiments and extract meaningful insights from them.

Minimum Qualification

• PhD (or equivalent experience) in ML/AI, applied math, stats, or adjacent.
• Hands-on experience with LLM post-training (at least one of SFT/DPO/RLHF/RLVR).
• Solid Python + PyTorch/JAX; comfortable with training infra basics.
• Fluent English

• Worked with rubric-based evaluation or tool-augmented tasks.
• Experience mixing synthetic and human data.
• Familiarity with failure analysis and dataset audits.

Work Model

We operate remote-first. We focus on outcomes, not where the work is done. To support flexibility and personal choice, we maintain offices in select locations as an optional resource for the team.

Location: Flexible (EU-friendly time zones preferred)

Type: Full-time or long-term contract

Vetto is a global talent platform connecting top-tier professionals to high-impact AI projects around the world. Our mission is to build trust, quality, and long-term value in the AI ecosystem - for both exceptional talents and companies operating at the frontier of technology.