[Hiring] Post-Training Research Scientist @Vetto

Role Description

This role sits at the heart of Vetto’s mission: using high-quality human data to build AI systems that make the world better. You’ll take raw expert signals and turn it into tangible model improvement, experimenting rapidly and carving new paths in post-training. With full autonomy and no production constraints, you’ll have the freedom to try unconventional ideas and see their impact quickly.

Key Responsibilities

• 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

Qualifications

• 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

Preferred Qualification

• 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

Equal Employment Opportunity

Vetto is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other protected characteristic.