Thinking Machines Lab

Thinking Machines Lab

Developer Relations Engineer

San Francisco · Senior

H1B sponsorship available$300k-$350kDetected 18 days ago
PythonAlgorithmsMachine LearningNLPLLMsLogisticsResearch

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • 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.

Responsibilities

  • Write, test, and maintain high-quality agentic training, code examples and documentation for Inkling and Tinker
  • 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
  • We believe the future worth building is human, and we're hiring people who want to build it.

Requirements

  • 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

Nice to have

  • 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
  • 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.

Compensation

  • Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $350,000 USD.

Benefits

  • Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
  • Experience with supervised and reinforcement learning fine-tuning of LLMs, post-training on new domains, and improving model capability

Company info

  • 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.

Visa & Work Authorization

  • 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.

This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.