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Open nowPosted 7 hours ago

Developer Relations Engineer

Thinking Machines Lab49 open roles

Where
San Francisco
Work mode
On site
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Your applicationOpen nowDeveloper Relations EngineerThinking Machines Lab · San Francisco

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market. Thinking Machines Lab postings stay open a median of 18 days.

Share of postings closed within
  1. 1.4%1 day
  2. 3.5%3 days
  3. 7.7%7 days
  4. 13.4%14 days
  5. 34.5%30 days
This job: posted 7 hours ago

Thinking Machines Lab median: 18 days open

The posting

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 & INKLING

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.

Inkling https://thinkingmachines.ai/news/introducing-inkling/ is our open-weights model. It is a Mixture-of-Experts transformer with 975B total parameters, 41B active. It supports a context window of up to 1M tokens. It was pretrained on 45 trillion tokens of text, images, audio and video. It is the first in a family of models of different sizes.

ABOUT THE ROLE

We're hiring a Developer Relations Engineer to help the open source community build with Thinking Machines' products — Inkling https://thinkingmachines.ai/news/introducing-inkling/ and the models that follow it, and Tinker http://tinker, our fine-tuning platform. You'll work hands-on with real users, turn their feedback into product improvements, and help developers get the most out of our models and tools.

This role sits at the intersection of engineering, research and community: you'll write code, ship industry leading ML recipes and integrations, and also represent Thinking Machines externally through talks, demos, and technical writing. It's a great fit for someone who's happiest building in a code editor, but who also enjoys teaching and engaging with a fast-growing developer community.

WHAT YOU'LL DO

- Write, test, and maintain high-quality agentic training, code examples and documentation for Inkling and Tinker

- Work directly with developers and researchers in the open source community to debug issues, gather feedback, and improve their experience fine-tuning and deploying models

- Partner with the research and infrastructure teams to turn community patterns and feedback into concrete improvements to Inkling, future models, Tinker, and develop new post-training recipes.

- Build demos, integrations, and tools that make it easier for developers to adopt and get value from Thinking Machines' models

- Represent Thinking Machines in the open source community through blog posts, talks and tutorials, livestreams, and conference and meetup appearances

- Help shape the developer experience roadmap as new models and platform features ship

SKILLS & QUALIFICATIONS

MINIMUM QUALIFICATIONS

- 5+ years of experience in developer relations, developer experience, or a software engineering role with significant open source or community-facing work

- Strong software engineering skills, with experience writing and shipping production-quality Python code

- Hands-on experience fine-tuning, evaluating, or deploying large language models

PREFERRED QUALIFICATIONS

- Experience with supervised and reinforcement learning fine-tuning of LLMs, post-training on new domains, and improving model capability

- Track record contributing to, maintaining, or growing open source software libraries

- Experience writing public or internal tutorials, cookbooks, or technical content that helped others understand and apply technical concepts

- Comfortable engaging publicly through talks, livestreams, or conference and meetup appearances

- Familiarity with multimodal models (text, image, audio) and the tradeoffs involved in training, fine-tuning, and inference

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.

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