--- title: Post Training Applied Researcher at Baseten description: Baseten is hiring for the Post Training Applied Researcher role in San Francisco, CA. Full-time, hybrid role. See the full description and apply. type: job url: https://www.foundrole.com/jobs/post-training-applied-researcher-at-baseten-01a1182b-3eee-7f7f-8969-404a134389f1 date: 2026-11-15T01:26:44Z og_description: Join Baseten as Post Training Applied Researcher in San Francisco, CA. Pays $200K–$275K per year. Full-time, hybrid role. og_image: https://www.foundrole.com/og/sm89ab.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | Baseten | | **Location** | San Francisco, CA (Hybrid) | | **Salary** | $200K/yr - $275K/yr | | **Type** | Full Time | | **Posted** | Oct 08, 2026 | ## Is this job real? **Ghost job check:** A- · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** Baseten sponsors H-1B visas. It filed 47 H-1B petitions (FY2026 Q1 – FY2026 Q4). - **E-Verify:** Baseten uses E-Verify. ## Pay for similar jobs Most similar jobs pay $133,000 – $256,000 a year (median $213,000). ## Description **ABOUT BASETEN** Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our [$1.5B Series F](https://www.baseten.co/blog/announcing-our-series-f/), led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. **THE ROLE** This role sits at the applied end of our post-training research efforts. You will work directly with stakeholders from the world’s fastest-growing AI companies to post-train open-source models that outperform frontier closed models on their specialised tasks. Your day-to-day is finding creative ways to extract signal from complex, domain-specific datasets and building the reward functions, environments, eval harnesses, and training pipelines that turn that signal into better models. The models you train ship to production and reach millions of users. We are looking for people with hands-on LLM fine-tuning and RL experience. Researchers who are excited by the prospect of shipping models into production, who can translate a customer's domain-specific requirements into an effective training curriculum, and who know when to be rigorous and when to iterate fast. **RECENT RESEARCH** - [Dense, on-policy or both?](https://www.baseten.co/research/dense-on-policy-or-both/) - [Repeated kv cache for long-running agents](https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/) - [Distillation without the dark – replicating black-box on-policy distillation on Baseten](https://www.baseten.co/research/distillation-without-the-dark/) **RESPONSIBILITIES** - Design and run post-training pipelines: SFT, GRPO, DPO, RLVR, reward function engineering, and synthetic data generation. - Build task-specific training environments and evals tailored to customer domains like healthcare, code generation, and legal, spanning multi-turn tool use, sandboxed execution, and agentic workflows. - Work directly with customers to translate production data into training signal, designing reward loops from real usage patterns and handling distribution shift. - Run and analyze training experiments end-to-end: diagnose reward hacking, importance sampling drift, and advantage estimation instabilities. - Publish findings at top venues and contribute to Baseten's open-source training libraries. **QUALIFICATIONS** - Hands-on experience training LLMs with reinforcement learning — demonstrated understanding of GRPO or PPO beyond recipe-level reproduction, including group advantage computation, clipped objectives, and KL penalty design - Strong intuition for reward engineering: the ability to distinguish between a reward that trains effectively and one that will exploit at scale - Experience building multi-turn agent environments with tool use, not limited to single-turn question-answering setups - Comfort working across the full pipeline from dataset construction through training, evaluation, and deployment - Experience with production ML systems. Preference for candidates who have closed a training–inference loop where production data feeds back into model improvement **PREFERRED QUALIFICATIONS** - Experience with RL training frameworks - Publications at NeurIPS, ICML, ICLR, focused on RL for LLMs, reward modeling, or alignment **BENEFITS** - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. **Apply now** to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. *At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.* *We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).* ## Skills - Construction - Supervised Fine-Tuning (Sft) - Synthetic Data Generation - KV Cache - Open-Source Software - Software Deployment - Data Protection Officer - Machine Learning Model Fine-Tuning - Curriculum Development - Vacuum Distillation Processes - Sandboxed Execution Environments - LLM Evals - Reinforcement Learning from Human Feedback (Rlhf) - Large Language Models (Llm) - Tool Calling - Code Generation - Agentic Workflows - Reinforcement Learning - Group Relative Policy Optimization (Grpo) - Reward Modeling - Machine Learning ## Benefits - Health Insurance - Dental Insurance - Vision Insurance - Parental Leave - Paid Time Off (Pto) - 401(k) Plans ## Related - [Science & Research jobs](https://www.foundrole.com/careers/science-and-research?utm_source=ai_markdown)- [Research & Development jobs](https://www.foundrole.com/careers/science-and-research/research-and-development?utm_source=ai_markdown)- [Researcher / Research Associate jobs](https://www.foundrole.com/careers/science-and-research/research-and-development/researcher-research-associate?utm_source=ai_markdown)- [Research Scientist jobs](https://www.foundrole.com/careers/science-and-research/research-and-development/researcher-research-associate/research-scientist?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260758 jobs - [Software Products](https://www.foundrole.com/sectors/technology/software-products?utm_source=ai_markdown) — 118920 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 27904 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260758 jobs - [Software Products](https://www.foundrole.com/sectors/technology/software-products?utm_source=ai_markdown) — 118920 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 27904 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)