Tinkerer

Highlights

• Build Tinker fine-tuning API while using it hands-on with real users.
• Prototype integrations and demos that make customizing open models smooth.
• Share field insights via blog posts, guides, demos and code examples.

What they offer

• Generous health, dental, and vision benefits
• Unlimited PTO
• Paid parental leave
• Relocation support as needed

Ideal candidate

A hands-on engineer who loves working directly with users and turning friction into better tools. Passionate about open source, clear teaching, and thoughtful developer experience.

Requirements

• 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