VP, Engineering

Odyssey; Greater London; Sur place; GBP 180 000 - 240 000; Plein temps

Résumé du poste

Odyssey in London is seeking a seasoned ML platform and infrastructure leader to own the roadmap for data, evaluation, and compute across the company’s AI stack. You will partner with Research and Applied ML teams, grow the engineering organization across locations, and make prioritization calls between researchers, leadership and product.

Based in London or Palo Alto, you will be in office 3+ days a week, driving platform velocity in a fast-paced startup setting devoted to ambitious world-model

Qualifications

• 10+ years of engineering experience with deep expertise in data, evaluation, and compute infrastructure.
• Experience in an ML systems org and understanding of what slows ML development.
• Led engineering groups of 20+ across multiple teams and locations.
• Based in London or Palo Alto with in-office 3+ days a week, ideally full-time.
• Thrives in a fast-paced startup environment and is energized by the mission and platform.

Responsabilités

• 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.

Connaissances

ML systems

Team leadership

Roadmap ownership

Cross-functional collaboration

Description du poste

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