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About the Role
We are hiring an engineer focused on developer experience to build and utilize Tinker, our fine-tuning API. This role involves working hands-on with users, turning their challenges into product improvements, writing cookbook recipes, adding library features, prototyping integrations, and ensuring smooth model customization. You will act as a bridge between Tinker users and our internal teams, surfacing user patterns to guide product and infrastructure priorities, and sharing your learnings through various channels. This is a technical-first role with a significant user-facing component, ideal for someone who enjoys both coding and engaging with creative individuals.
Responsibilities
- Write, test, and maintain high-quality code examples, recipes, and documentation in the Tinker cookbook.
- Work directly with users to debug technical issues and optimize 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 facilitate model experimentation and deployment.
- Share insights from the field through posts, guides, and talks.
- Help develop Tinker’s near-term roadmap and long-term product strategy.
Requirements
- Experienced with fine-tuning large language models (LLMs) using supervised and reinforcement learning, including hyperparameter tuning.
- Experienced with developing software libraries, particularly open-source libraries.
- Thoughtful about developer experience, with clear ideas on ergonomics, onboarding, and potential challenges.
- Passionate about engaging with open-source communities through contributions, support, and knowledge sharing.
- Proven ability to write public or internal code examples, tutorials, or papers that aid in understanding and applying technical concepts.
- Comfortable reasoning about model training, fine-tuning, and inference, and able to discuss tradeoffs between different approaches.
- Visa sponsorship is available.
Skills
- Fine-tuning large language models (LLMs)
- Supervised learning
- Reinforcement learning
- Hyperparameter tuning
- Software library development
- Open-source development
- Developer experience
- Developer ergonomics
- Onboarding flow
- Open-source community engagement
- Technical writing
- Technical documentation
- Model training
- Model inference
- Technical communication
Location
- San Francisco, California
Work Type
- Full-time
Experience Level
- Mid-level
- Senior
Salary/Compensations
- $350,000 - $475,000 USD
Benefits
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support
About the Company
- The mission of Thinking Machines is to build AI that extends human will and judgment.
- We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication.
- We believe the future worth building is human, and we're hiring people who want to build it.
- Tinker is our fine-tuning API that empowers researchers and developers to customize frontier AI to their needs — opening access to capabilities that have previously been concentrated in a handful of labs.
- We manage the infrastructure while allowing Tinkerers full flexibility in training open weights models with their own data, algorithms, and for their own needs.