965,848open jobs
58,326companies
159,639added this week
Browse all
Salary
$350k – $475k per year
Location
In office (San Francisco)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 29, 2026.

Overview
Company
Impact
Profile match
Thinking Machines Lab is an artificial intelligence research and product company based in San Francisco and founded in 2025. The company develops multimodal AI systems and open-weights models, such as Inkling, alongside developer tools like Tinker for model fine-tuning. It operates as a public benefit corporation focused on human-AI collaboration and open science, supported by significant venture capital investment.

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 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 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 and the models that follow it, and 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 $350,000 - $475,000 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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
965,848 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Product
Similar stack
Same company
San Francisco
$207k – $265k per year • Hybrid • Full-Time • 6+ years exp • Bachelor's Degree • San Francisco
Python
JavaScript
TypeScript
AI/ML
Computer Vision
Physical AI
Embodied AI
Frontend
Next.js
Three.JS
React.js
Robotics
Isaac Sim
MuJoCo
Isaac Lab
Sim-to-Real
Management
Google Maps
Apply
Sr. Product Owner 8 days ago
≈ $108k – $197k per year (Estimated) • In office • Full-Time • 8+ years exp • Indianapolis
Management
Confluence
Jira
Agile
Scrum
Kanban
Waterfall
Apply
Product Owner 2 days ago
≈ $108k – $197k per year (Estimated) • In office • Full-Time • 5+ years exp • Indianapolis
Management
Confluence
Jira
Agile
Scrum
Kanban
Waterfall
Apply
≈ $134k – $243k per year (Estimated) • Equity • Hybrid • 5+ years exp • Austin
AI/ML
Fine-tuning
Embeddings
RAG
Synthetic Data
Apply
$120k – $165k per year • Remote (United States) • Full-Time • 5+ years exp • United States
DevOps
Azure DevOps
Azure
Cybersecurity
GDPR
Apply
≈ $157k – $310k per year (Estimated) • Remote (likely United States) • Full-Time • 10+ years exp • Bachelor's Degree
Python
SQL
AI/ML
Model Context Protocol
AI Agents
LLM
NIST AI RMF
Tool Use
Machine Learning
Cybersecurity
OWASP Top 10
Apply
≈ $70k – $132k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Everett
Python
SQL
Databases
Snowflake
Oracle
DevOps
Rest API
CI/CD
Git
Analytics
Power BI
Apply
≈ $19k – $48k per year (Estimated) • In office • 5+ years exp • Master's Degree • Cape Town
Python
SQL
AI/ML
Time Series Forecasting
Analytics
Tableau
Power BI
Management
Agile
Apply
≈ $53k – $132k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Cairo
Python
PowerShell
Bash
DevOps
Rest API
Docker
Incident Management
Linux
Cybersecurity
Wireshark
ISO 27001
NIST CSF
CVE
Management
Agile
Apply
$86k – $106k per year • Hybrid • 8+ years exp • Bachelor's Degree
Python
SQL
Databases
PostgreSQL
Databricks
MS SQL
Apache Kafka
AI/ML
Spark
DevOps
Prometheus
Azure
CI/CD
Grafana
Analytics
ETL/ELT
Apply
$350k – $475k per year • In office • Full-Time • San Francisco
AI/ML
Jupyter Notebook
Fine-tuning
Reinforcement Learning
Apply
$350k – $400k per year • Hybrid • Full-Time • San Francisco
AI/ML
Function Calling
AI Agents
SFT
Post-training
Tool Use
Apply
$350k – $400k per year • Hybrid • Full-Time • San Francisco
AI/ML
Quantization
DevOps
SLI/SLO/SLA
Apply
$275k – $325k per year • Hybrid • Full-Time • San Francisco
Apply
$350k – $475k per year • In office • Full-Time • 8+ years exp • San Francisco
Python
Rust
AI/ML
Machine Learning
Apply
$208k – $340k per year • Hybrid • Full-Time • 8+ years exp • San Francisco • New York
Databases
Databricks
AI/ML
Embeddings
AI Agents
LLM
Apply
≈ $156k – $284k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • San Francisco
AI/ML
Gemini
Machine Learning
Apply
$160k – $220k per year • In office • Full-Time • 3+ years exp • San Francisco
Apply
$119k – $239k per year • In office • Full-Time • 6+ years exp • Bachelor's Degree • Atlanta • Chicago • New York • San Francisco • Los Angeles
Apply
$55k – $58k per year • In office • San Francisco
Apply
See all jobs
This is one of many
965,848 more open roles from verified company boards, updated every day.