VP, Engineering

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
Expert/Leader
Artificial Intelligence • Information Technology • Software
The Role
Lead the ML platform and infrastructure (data, evaluation, compute). Own roadmap, build and scale distributed engineering teams, partner with Research and Applied ML to prioritize work, remain technically hands-on, and report to the CTO.
Summary Generated by Built In
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
  • Own the roadmap and vision for the ML platform across data, evaluation, and compute topics. This consists of software systems, tooling, and infrastructure.

  • Build and scale the engineering group, across multiple teams and locations

  • Partner closely with the Research team, Applied ML team, and other technical leaders so platform work stays tied to research velocity

  • Make the prioritization calls between researchers, leadership and product

  • Stay close enough to the technical details to drive product vision and get hands on with the code when needed

Who you are
  • 10+ years of engineering experience with deep expertise in data, evaluation, and compute infrastructure.

  • You've worked in an ML systems org and know first-hand what slows ML development down.

  • You’ve led engineering groups of 20 or more across multiple teams and locations

  • Based in Palo Alto or London, in office 3+ days a week, ideally full time

  • Energized by working in a fast-paced startup environment and by the company, the mission and platform

Skills Required

  • 10+ years of engineering experience with deep expertise in data, evaluation, and compute infrastructure.
  • Experience working in an ML systems organization and understanding what slows ML development.
  • Proven experience leading engineering groups of 20+ across multiple teams and locations.
  • Ability to build and scale engineering teams and own platform roadmaps across data, evaluation, and compute.
  • Willingness to be hands-on with code when needed and stay close to technical details.
  • Based in Palo Alto or London and able to be in-office 3+ days per week (ideally full time).
  • Energized by fast-paced startup environments and mission-driven work.
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The Company
HQ: Indianapolis, IN
46 Employees
Year Founded: 2023

What We Do

Odyssey is an AI lab pioneering general-purpose world models—a new form of multimodal intelligence unlocking entirely new consumer, enterprise, and intelligence applications. World models are the next major frontier in AI, and Odyssey is leading the way with breakthrough models like Odyssey-2 Pro.

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