VP, Engineering
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At a glance
Job overview
Odyssey is hiring a VP, Engineering. Odyssey is an AI lab developing general world models, which are causal, multimodal systems that predict and interact with the world. This technology aims to transform various sectors including robotics, science, and healthcare. The company's founders previously worked on self-driving cars and have assembled a research team from leading AI organizations. Odyssey has secured significant venture capital funding from prominent investors and researchers.
Key focus areas include Own the roadmap and vision for the ML platform across data, evaluation, and compute topics, Build and scale the engineering group, across multiple teams and locations, and Partner closely with the Research team, Applied ML team, and other technical leaders.
Successful candidates bring 10+ Years Engineering Experience, ML Systems Org Experience, and Led Engineering Groups Of 20 Or More. Important skills include ML Platform, Data Platform, Evaluation Systems, Compute Infrastructure, Software Systems, and Tooling. Preferred (not required): Fast-Paced Startup Environment.
Skills & qualifications
Skills
Qualifications
Full 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 You'll lead our ML platform and infrastructure group, spanning our data platform, evaluation systems and tooling, and compute. This leader will serve as a trusted partner to the founders and stakeholders across product and technology, and will report directly to our CTO and co-founder.
What you'll do
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Own the roadmap and vision for the ML platform across data, evaluation, and compute topics. This consists of software systems, tooling, and infrastructure.
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Build and scale the engineering group, across multiple teams and locations
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Partner closely with the Research team, Applied ML team, and other technical leaders so platform work stays tied to research velocity
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Make the prioritization calls between researchers, leadership and product
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Stay close enough to the technical details to drive product vision and get hands on with the code when needed
Who you are
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10+ years of engineering experience with deep expertise in data, evaluation, and compute infrastructure.
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You've worked in an ML systems org and know first-hand what slows ML development down.
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You’ve led engineering groups of 20 or more across multiple teams and locations
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Based in Palo Alto or London, in office 3+ days a week, ideally full time
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Energized by working in a fast-paced startup environment and by the company, the mission and platform
You've read the whole posting — now see how you match it.