
Developer Relations Engineer
Thinking Machines Lab17 hours ago
Base Salary
$300k - $350k/yr
Responsibilities
- Write, test, and maintain agentic training code, examples, and documentation for Inkling and Tinker.
- Debug issues with open source developers and researchers, gather feedback, and improve fine-tuning and model deployment experiences.
- Partner with research and infrastructure teams to turn community feedback into improvements to models, Tinker, and post-training recipes.
- Build demos, integrations, and tools that improve adoption of Thinking Machines’ models.
- Represent the company through blog posts, talks, tutorials, livestreams, conferences, and meetups.
- Help shape the developer experience roadmap as models and platform features ship.
Requirements
- 5+ years of experience in developer relations, developer experience, or software engineering with significant open source or community-facing work.
- Strong software engineering skills and experience writing and shipping production-quality Python code.
- Hands-on experience fine-tuning, evaluating, or deploying large language models.
- Preferred: experience with supervised and reinforcement learning fine-tuning, post-training on new domains, and improving model capability.
- Preferred: experience contributing to, maintaining, or growing open source software libraries.
- Preferred: experience writing tutorials, cookbooks, or technical content.
- Preferred: comfort with public talks, livestreams, conferences, and meetups.
- Preferred: familiarity with multimodal text, image, and audio models and related training, fine-tuning, and inference tradeoffs.
Benefits
- Generous health, dental, and vision benefits.
- Unlimited paid time off.
- Paid parental leave.
- Relocation support as needed.
- Based in San Francisco, California.
Tech Stack
Categories
About Thinking Machines Lab
Thinking Machines Lab develops AI and generative AI software and conducts applied research to help organizations make data-driven decisions. The company builds products and data science solutions for enterprise use cases, pairing foundational models with practical tooling and services across industries. It is privately held and headquartered in San Francisco.