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Thinking Machines Lab Jobs (NOW HIRING)

Thinking Machines Lab

Technical Sourcer

San Francisco, CA · On-site

$150K - $250K/yr

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI ...

Thinking Machines Lab

Designer

San Francisco, CA · On-site

$350K - $475K/yr

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI ...

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How much do thinking machines lab jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for thinking machines lab in the United States is $22.53, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.28 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 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.

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 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.

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What cities are hiring for Thinking Machines Lab jobs? Cities with the most Thinking Machines Lab job openings:
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Thinking Machines Lab jobs near you
Infographic showing various Thinking Machines Lab job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 76% Full Time, 11% Part Time, and 11% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $46,864 per year, or $22.5 per hour.

HR Business Partner

Thinking Machines Lab

San Francisco, CA • On-site

$190K - $300K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 28 days ago

Job description

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.
HR Business Partner
Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
We are a small team of scientists, engineers, and builders who've created some of the most widely used AI products including ChatGPT, Character.ai, and PyTorch. As we scale our team, some of the hardest challenges we face are about empowering and aligning our people and helping our managers make crucial decisions under uncertainty.
About the Role
The new role of HR Business Partner will combine two tasks: leadership coaching, and people systems design. The two require different skillsets, but a shared vision for managing talent.
You will coach managers at Thinking Machines Lab to be more effective leaders. You will provide strategic support on researcher and engineer performance, team dynamics, and personal growth. You will also build the people infrastructure that will scale this support as the company grows: performance and feedback systems, compensation structures, and career frameworks.
What You'll Do
  • Coach managers by observing how they lead, identifying strengths and blind spots, and working on continuous improvement.
  • Advise leadership on organizational decisions: team structure, succession planning, and strategic people choices that shape how we work.
  • Design compensation structures that let us compete for the best machine learning talent in the world while staying aligned on values and principles.
  • Create career/leveling frameworks that work for a research lab where career advancement often doesn't mean managing people, contributions such as mentorship and taste are harder to measure, and where senior researchers expect to grow and learn even after a decade in the role.
  • Build feedback and evaluation processes that help people improve, not just get measured.
Skills and Qualifications
Minimum qualifications:
  • 5+ years experience working as a people leader or HR business partner in a high-growth technical environment.
  • Fluency with employment law and best practices in North America.
  • Proven track record of developing HR practices and supporting a diverse set of talent.

Preferred qualifications:
We encourage you to apply even if you don't meet all preferred qualifications.
  • 10+ years experience as a people leader or HR business partner.
  • Experience in setting up novel systems that scale in a fast-growing company.
  • Coaching experience that showcases a skill set in providing confidential support, motivating improvement, and conflict resolution.
  • Track record of supporting a high trust and low ego environment for high caliber talent with strong retention and growth.
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 $190,000 - $300,000 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.
  • As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.

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