Research Engineer focused on developer experience for Tinker, Thinking Machines' fine-tuning API. Build cookbook recipes, prototypes, integrations, and tools while working directly with users to improve onboarding, debug issues, and guide product priorities for LLM customization.
350k – 475k/yr
On-siteDeveloper Relations
About the role
What You’ll Do
Write, test, and maintain high-quality code examples, recipes, and documentation in the Tinker cookbook.
Work directly with a variety of users to debug technical issues and optimize their fine-tuning pipelines.
Partner with internal research and infra teams to identify and prioritize improvements to Tinker’s developer experience.
Build tools, integrations, and demos that reduce user friction and make it easy to experiment and deploy models.
Share insights from the field through posts, guides, and talks.
Help develop Tinker’s near-term roadmap and long-term product strategy.
Preferred Qualifications
Experienced with fine-tuning large language models (LLMs) with supervised and reinforcement learning, and how to tune the hyperparameters of these algorithms.
Experienced with developing software libraries, especially open-source libraries.
Thoughtful about developer experience, with clear ideas around developer ergonomics, onboarding flow, and sharp edges.
Passionate about engaging with open-source communities, whether by contributing code, answering questions, or sharing learnings.
Have written public or internal code examples, tutorials, or papers that helped others understand and apply technical concepts.
Comfortable reasoning about model training, fine-tuning, and inference, and can credibly discuss tradeoffs between different approaches.
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