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Thinking Machines Lab Jobs in California (NOW HIRING)

Prime Intellect

Internship

San Francisco, CA · On-site

Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance ... Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra ...

Odyssey

VP, Engineering

Palo Alto, CA · On-site

$250 - $420/hr

Who we are Odyssey is an AI lab pioneering general world models: causal, multimodal systems that ... Recursive, and Thinking Machines. What we're looking for You'll lead our ML platform and ...

Stealth Startup

Robotics Operator

San Francisco, CA · On-site

$22 - $26/hr

... thinking machines. We're early-stage, well-capitalized, fast-paced, and hands-on. About the Role ... Keep the lab clean, organized, and safe What We're Looking For * Exceptional attention to detail ...

Odyssey

Business Development Lead, Robotics

Palo Alto, CA · On-site

$180 - $280/hr

Who we are Odyssey is an AI lab pioneering general world models: causal, multimodal systems that ... Recursive, and Thinking Machines. What we\'re looking for We\'re hiring a Strategic Business ...

Odyssey

VP, Research

Palo Alto, CA · On-site

Who we are Odyssey is an AI lab pioneering general world models: causal, multimodal systems that ... Thinking Machines. What we're looking for Odyssey is hiring a VP of Research to lead and grow our ...

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How much do thinking machines lab jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for thinking machines lab in California is $22.24, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist at Thinking Machines Lab, and why are they important?

To thrive as a Data Scientist at Thinking Machines Lab, you need expertise in statistics, machine learning, and data analysis, usually backed by a degree in computer science or a related field. Proficiency in Python, R, SQL, and experience with cloud platforms and data visualization tools are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you deliver actionable insights and work effectively within teams. These skills and qualities are crucial for developing innovative solutions that drive impactful, data-driven decisions for clients.

What is the difference between Thinking Machines Lab vs Data Scientist?

AspectThinking Machines LabData Scientist
Required CredentialsAdvanced degrees in computer science, AI, or related fieldsDegree in statistics, computer science, or related fields; certifications like Certified Data Scientist
Work EnvironmentResearch labs, tech companies, AI-focused organizationsCorporate offices, tech firms, consulting agencies
Industry UsageAI research, machine learning development, innovation projectsData analysis, predictive modeling, business insights

Thinking Machines Lab primarily focuses on AI research and machine learning innovation, often within research institutions or tech companies. Data Scientists analyze data to generate insights and support business decisions. While both roles require strong technical skills and knowledge of machine learning, Thinking Machines Lab emphasizes research and development, whereas Data Scientists focus on applying data analysis to real-world problems.

What is Thinking Machines Lab?

Thinking Machines Lab is a data science and artificial intelligence consultancy that helps organizations leverage data to solve complex problems and drive innovation. Founded in the Philippines, the company offers services such as data engineering, machine learning, data visualization, and geospatial analytics. Their team works with businesses, governments, and NGOs to design custom solutions and build data-driven strategies. Thinking Machines Lab is known for its expertise in AI and its commitment to ethical and impactful technology.

What are the typical collaboration dynamics for team members at Thinking Machines Lab?

At Thinking Machines Lab, team members often work in cross-functional groups that include data scientists, engineers, designers, and project managers. Collaboration is highly encouraged through regular sprint meetings, project check-ins, and open communication channels. You can expect to engage with both internal colleagues and external clients to co-create data solutions, provide feedback, and iterate on project deliverables. This collaborative environment fosters learning and innovation, making it a great place for professionals who enjoy teamwork and problem-solving.
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Thinking Machines Lab jobs near you
Infographic showing various Thinking Machines Lab job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $46,250 per year, or $22.2 per hour.

Software Engineer, Developer Productivity, AI Tools

Thinking Machines Lab

San Francisco, CA • On-site, Remote

$350K - $475K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 5 days ago

Job description

About the Role

We are hiring a developer productivity engineer to advance how we build software internally: safely, quickly, and with delight. The main focus are AI tools and coding agents. You'll partner with platform, security, and product engineers to build state-of-the-art tooling for AI-assisted software development, and make our inner loop dramatically faster. 

The scope of this role includes both setting up company-wide platforms and working with developers to accelerate their individual workflows. 

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You'll Do
  • Enable our researchers and engineers to leverage AI to improve coding productivity without compromising code quality
  • Standardize AI coding tools, such as Claude Code, Cursor, and Codex. You will help configure, harden, and maintain the best tools, integrating org-wide configurations with individual preferences.
  • Build secure, reproducible agent sandboxes for remote dev & CI testing.
  • Set up golden-path dev environments and guardrails for secrets/PII.
  • Help individual contributors develop their personalized AI-enabled workflow.
  • Track tool usage, reliability, and cost.
Skills and Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent industry experience in computer science, engineering, or similar.
  • Experience developing productivity tools and best practices for large codebases.
  • Ability to communicate clearly and work with researchers to build and manage a variety of internal tools.

Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but at least some:

  • Hands-on experience with container platforms (e.g. Docker/Kubernetes), modern CI (GitHub Actions/Buildkite), and package management tools (uv).
  • Practical experience with AI coding tools and model APIs (e.g. OSS via vLLM / SGLang / TGI).
  • Solid Linux/networking fundamentals; comfort with secrets management and safe egress.
  • Proficiency in systems programming languages (e.g. Rust) and scripting languages (e.g. Python).
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.

Apply