Director of Engineering (AI)
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Описание вакансии
TL;DR
Director of Engineering (AI/Simulation): Leading the London site and Sim Realism team to build state-of-the-art simulations for autonomous driving with an accent on generative foundation models and sensor-level simulation. Focus on scaling a high-tier engineering organization, aligning technical roadmaps with AI-first objectives, and accelerating R&D through partnerships with Google DeepMind.
Location: London, England (Hybrid/Onsite)
Salary: £230,000—£242,000 GBP
Company
is an autonomous driving technology company building the World's Most Experienced Driver to improve mobility and save lives through autonomous ride-hailing services.
What you will do
- Lead the London office and Sim Realism team, fostering a cohesive "One " culture across multiple functions.
- Serve as the primary executive link between 's Foundation Model initiatives and Google DeepMind teams in the UK.
- Define and drive the technical roadmap for the London Sim Realism team, aligning with overarching AI-first objectives.
- Direct the research and engineering of cutting-edge generative models for sensor-level and semantic-level simulation.
- Recruit, manage, and mentor a top-tier engineering organization specializing in machine learning and generative AI.
- Partner with Real Estate & Workplace Services to execute a site strategy accommodating aggressive team growth.
Requirements
- PhD or Master's degree in Computer Science, Machine Learning, Robotics, or a related field.
- Proven track record of leading and scaling large engineering organizations in fast-paced, research-driven environments.
- Deep foundational knowledge and applied expertise in machine learning and generative foundation models.
- Ability to drive complex, multi-year, cross-functional projects from conception to global impact.
- Extensive experience managing senior engineers, staff engineers, and technical leads.
- Must be based in or able to work from London, England.
Nice to have
- Familiarity with autonomous vehicle technology, robotics, or complex embodied AI systems.
- Exceptional executive communication skills and ability to influence stakeholders across reporting lines.
- Capability to translate ambiguous, long-term strategic goals into actionable engineering roadmaps.
Culture & Benefits
- Discretionary annual bonus program.
- Equity incentive plan.
- Generous comprehensive company benefits program.
- Opportunity to work at the forefront of autonomous driving and Generative AI.
- Collaborative environment involving ML engineers, software engineers, and data scientists.
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