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Thinking Machines Lab Jobs in California (NOW HIRING)

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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Thinking Machines Lab information

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$12

$22

$33

How much do thinking machines lab jobs pay per hour?

As of Aug 9, 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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What cities in California are hiring for Thinking Machines Lab jobs? Cities in California with the most Thinking Machines Lab job openings:
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.

VP, Research

Odyssey

Palo Alto, CA • On-site

Full-time

Posted 23 days ago

Job description

Who we are
Odyssey is an AI lab pioneering general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond.
Odyssey's founders previously pioneered the most complex application of physical AI: self-driving cars. They've now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD).
Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines.
What we're looking for
Odyssey is hiring a VP of Research to lead and grow our Frontier Research group, the researchers working at the cutting edge of world model capability, responsible for the first proof points of new algorithms and for pushing the frontier of what world models can do. This is a role for someone who wants to both set the research agenda and stay close enough to shape it directly, not manage from a distance.You'll report directly to Jeff Hawke, our Co-Founder and CTO, and work alongside Odyssey's leaders.
What you'll do
  • Leading and growing the Frontier Research group, hiring, mentoring, and developing researchers at every level.
  • Owning and driving Odyssey's research agenda across world simulation, multimodality, robotics, and multi-agent learning.
  • Defining and communicating a research vision ambitious enough to position Odyssey as the leading voice in world models, one that attracts top talent to the field and to us specifically.
  • Setting the research roadmap and publication strategy, and representing Odyssey's research externally to the broader community.
  • Collaboration across disciplines with other VP-level leaders, driving forward Odyssey's holistic top-level strategy.

Who you are
  • 10+ years of research experience with a strong publication record at top ML venues (NeurIPS, ICML, ICLR, CVPR, and similar).
  • Deep technical expertise in at least one of generative video models, world models, multimodal learning, reinforcement learning, or robotics.
  • A track record of leading and growing research teams, including mentoring researchers at all levels, not just senior hires.
  • Demonstrated ability to set a research vision that shapes a field and pulls talent toward it.
  • Comfortable in a fast-paced, high-ambiguity environment; startup experience preferred.
  • Equally comfortable partnering with Foundation Models, ML Platform, and Applied AI as with your own researchers.
  • Willing to be in the office 3+ days a week, ideally full-time, based in London.
  • Genuinely motivated by Odyssey's mission to discover the GPT-3 moment for world models, not just intellectually curious about it.

Apply