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Senior Staff Tech Lead (Machine Learning Engineer, Perception)

Waymo

Skills

Required

  • Machine Learning / AI / Computer Vision
  • Robotics

Preferred

  • Python
  • C++
  • modern ML frameworks
  • PyTorch
  • JAX
  • TensorFlow
  • multi-modal perception architectures

Waymo, the leading self-driving technology company. As a Senior Staff Tech Lead in the Perception team, you will be responsible for building the system that perceives the world around the self-driving car. You will set the long-term technical roadmap for next-generation multi-modal perception architectures, architect unified representations combining diverse sensor modalities, and lead cross-functional initiatives. You will also mentor ML engineers and foster an engineering culture of rapid prototyping and rigorous benchmarking.

About Waymo

Strong industrial experience multi-modal foundation models, 3D perception, or end-to-end autonomous driving systems

Responsibilities

  • Set the long-term technical roadmap for next-generation multi-modal perception architectures, driving paradigm shifts in multi-task learning, spatial-temporal modeling, and scene representation.
  • Architect unified, scalable representations combining diverse sensor modalities across heterogeneous sensor suites.
  • Lead cross-functional initiatives across Perception and Planner and partner with hardware and infrastructure teams to optimize foundational architectures for onboard requirements.

Requirements

  • 8+ years of industry experience in Machine Learning, AI or Computer Vision
  • BS or MS in Computer Science, Robotics, Machine Learning, or equivalent practical experience
  • Demonstrated experience leading large technical initiatives as a Tech Lead across cross-functional teams
  • Proven track record of architecting and shipping large-scale, production-grade machine learning models
  • PhD with a publication record at top-tier venues

Preferred

  • Expert proficiency in Python, C++, and modern ML frameworks (e.g., PyTorch, JAX, TensorFlow)
  • Experience designing modular, sensor-agnostic perception frameworks that scale across diverse configurations

Pay

USD 298,000 - 368,000

Benefits

  • Enjoy a competitive compensation package, generous benefits, and a hybrid work model.