Head of ML Platform & Compute Infrastructure

Odyssey; Greater London; On-site; GBP 180,000 - 240,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

ML systems

Team leadership

Roadmap ownership

Cross-functional collaboration

Job description

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