{"id":837155,"url":"https://alion.io/job/vetto-post-training-research-scientist-llms-experimental-track","title":"Post-Training Research Scientist (LLMs) — Experimental Track","company":{"id":686609,"name":"Vetto","domain":"vetto.com","url":"https://alion.io/company/vetto-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"D","score":40,"open_postings":17,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"DPO","optional":false},{"name":"JAX","optional":false},{"name":"LLM","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RLHF","optional":false},{"name":"SFT","optional":false}],"status":"live","first_seen_at":"2026-01-23T20:10:24Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-21T20:32:06Z","board_verified":true,"closed_at":null,"days_open":271,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":270},"description":"About us\nVetto 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. \nAbout the role\nThis 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.\nKey Responsibilities\nDesign and run post-training experiments on frontier and open-weight LLMs (SFT, preference-based methods, rubric-driven training)\nTranslate raw annotation artifacts (multi-step solutions, evaluations, adversarial prompts) into training-ready datasets.\nPrototype new reward signals beyond pairwise preferences (rubrics, constraints, structured critics).\nAnalyze failure modes; propose data-centric fixes (sampling, curriculum, counterfactuals).\nBuild lightweight training/eval pipelines; iterate quickly.\nProduce short internal memos: what worked, what didn’t, why.\nAbout you\nWe’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.\nMinimum Qualification\nPhD (or equivalent experience) in ML/AI, applied math, stats, or adjacent.\nHands-on experience with LLM post-training (at least one of SFT/DPO/RLHF/RLVR).\nSolid Python + PyTorch/JAX; comfortable with training infra basics.\nFluent English\nPreferred Qualification \nWorked with rubric-based evaluation or tool-augmented tasks.\nExperience mixing synthetic and human data.\nFamiliarity with failure analysis and dataset audits.\nWork Model\nWe 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.\nLocation: Flexible (EU-friendly time zones preferred)\nType: Full-time or long-term contract\nEqual Employment Opportunity\nVetto is proud to be an equal opportunity employer and values diversity at our company. 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