Developer Experience Engineer

Thinking Machines Lab
San Francisco, CA
On-site

Who this role is best for

Developer experience engineers with a background in model fine-tuning and open-source library development will find this technical-first role ideal for shaping user-facing tools and strategies.

Best fit for

  • Candidates who have actively contributed to open-source projects and engaged with user communities.
    — “passionate about engaging with open-source communities”
  • Individuals with hands-on experience in fine-tuning LLMs and optimizing training pipelines.
    — “Experienced with fine-tuning large language models (LLMs) with supervised and reinforcement learning”
  • People who enjoy both deep technical work and sharing insights through documentation and public-facing content.
    — “share what you learn through blog posts, demos, and code examples”

Things to consider

  • The role requires a strong ability to translate user challenges into product improvements.
    — “working hands-on with real users and turning their challenges into product improvements”
  • Candidates should be prepared for a high-impact, flexible work arrangement with a focus on user-facing outcomes.
    — “This role is a bridge between Tinker users and our teams”

How to stand out

  • Highlight open-source contributions and user-facing documentation in your resume and interviews.
    — “Have written public or internal code examples, tutorials, or papers that helped others understand and apply technical concepts”
  • Demonstrate your ability to debug and optimize fine-tuning pipelines with concrete examples.
    — “Work directly with a variety of users to debug technical issues and optimize their fine-tuning pipelines”
  • Showcase experience in collaborating across research and infrastructure teams to improve developer tools.
    — “Partner with internal research and infra teams to identify and prioritize improvements to Tinker’s developer experience”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Build and maintain Tinker cookbook
  • Optimize user fine-tuning pipelines
Typical background
Developer experienceAI model fine-tuning

Skills & requirements

Required

Developer ExperienceFine-tuning Large Language ModelsSoftware Library DevelopmentDeveloper Ergonomics

Preferred

Open-source ContributionModel Training

Stack & domain

Fine-tuning Large Language ModelsSupervised And Reinforcement LearningSoftware LibrariesDeveloper ExperienceModel TrainingFine-tuning PipelinesAPI DevelopmentModel InferenceCommunicationProblem-solvingTeamworkCustomer EngagementOpen-source Community InvolvementAI DevelopmentDeveloper ToolsModel Fine-tuning

About the role

Original posting from Thinking Machines Lab via Ashby

ABOUT THINKING MACHINES

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.

ABOUT TINKER

Tinker https://thinkingmachines.ai/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.

ABOUT THE ROLE

We’re hiring an engineer focused on developer experience to build Tinker while using Tinker — working hands-on with real users and turning their challenges into product improvements. You’ll write and update cookbook recipes, add library features, prototype integrations, and ensure users can customize models smoothly.

This role is a bridge between Tinker users and our teams. You’ll surface user patterns to guide product and infrastructure priorities, and share what you learn through blog posts, demos, and code examples.

This is a technical-first role with a major user-facing component. It’s ideal for someone who’s happiest in a code editor or Jupyter notebook, but who also enjoys talking to creative people. Tinker is flexible by design to empower novel and ambitious use cases for model fine-tuning — your job is to help them succeed.

WHAT YOU'LL DO

  • Write, test, and maintain high-quality code examples, recipes, and documentation in the Tinker cookbook https://github.com/thinking-machines-lab/tinker-cookbook/tree/main/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.

SKILLS & QUALIFICATIONS

Enabling user success in building on top of an advanced platform is a skill that can be developed through many paths. You might demonstrate that you have it if you:

  • 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.
  • Are thoughtful about developer experience, with clear ideas around developer ergonomics, onboarding flow, and sharp edges.
  • Are 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.
  • Are comfortable reasoning about model training, fine-tuning, and inference, and can credibly discuss tradeoffs between different approaches.

LOGISTICS

  • Location: This role is based in San Francisco, California.
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $350,000 USD.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Source: Thinking Machines Lab careers (Ashby)

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