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About the Role

We are hiring a research engineer focused on developer experience to build and utilize Tinker, our fine-tuning API. You will work hands-on with users, turning their challenges into product improvements by writing code examples, prototyping integrations, and ensuring smooth model customization. This role bridges users with our research and infrastructure teams, surfacing user patterns to guide product priorities and sharing learnings through various channels.

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) 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.

Location

San Francisco, California

Work Type

Full-time

Salary/Compensations

$350,000 - $475,000 USD

Benefits

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

About the Company

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence.
We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.
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.
Tinker is rapidly adding new customers, features, and novel use-cases.
We’re hiring to grow the platform alongside the Tinker community.

Equal Opportunity

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.