Senior ML Infra Engineer for Autonomous Simulation & Scale

Waymo LLC; Greater London; Vor Ort; GBP 155.000 - 163.000; Vollzeit

Benefits dieser Stelle

Discretionary annual bonus

Equity incentive plan

Generous company benefits

Zusammenfassung

Waymo is seeking a Senior Machine Learning Infrastructure Engineer to lead the development of AI/ML infrastructure for multi‑billion parameter foundation models in accelerator‑friendly simulations. You will design and scale distributed ML systems, guide architectural decisions, and mentor engineers in London.

Collaboration with Google DeepMind and Waymo Realism Modeling teams, plus Waymo Oxford, will help push state‑of‑the‑art simulations and autonomous vehicle models.

Qualifikationen

• 5+ years of professional software/ML infrastructure experience.
• Experience deploying and optimizing large-scale ML systems from data to model.
• Strong background in distributed training and ML accelerator profiling.

Aufgaben

• Lead design and scaling of distributed ML systems for multi-billion parameter models.
• Provide architectural guidance for ML infrastructure across the lifecycle (data to model).
• Collaborate with global teams to align technical directions with product goals.
• Mentor junior engineers and foster a collaborative culture.
• Own complex, high-impact systems and drive performance improvements.
• Translate product goals into measurable technical deliverables.

Kenntnisse

Distributed training

ML infrastructure

Large-scale models

Autonomous systems

Ausbildung

BS in Computer Science/Robotics

MS preferred

Tools

DeepSpeed

PyTorch

TensorFlow

Jobbeschreibung

Waymo is seeking a Senior Machine Learning Infrastructure Engineer to lead the development of AI/ML infrastructure for multi‑billion parameter foundation models in accelerator‑friendly simulations. You will design and scale distributed ML systems, guide architectural decisions, and mentor engineers in London.

Collaboration with Google DeepMind and Waymo Realism Modeling teams, plus Waymo Oxford, will help push state‑of‑the‑art simulations and autonomous vehicle models.