Staff Tech Lead, Machine Learning Engineer, Perception
Mountain View, California, United States; San Francisco, California, United States
- Pay
USD 251,000–310,000/yearAnnual period assumed — pay source
Salary Range $251,000—$310,000 USD
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingLead design of multi-sensor, multi-task model architectures for scene understanding
Architect and develop foundational modeling libraries for model development
Design core model components such as sensor encoders, fusion modules and backbones
Lead latency, throughput and memory optimizations within strict compute budgets
Build pipelines for rapid prototyping and analysis of model training dynamics
From the employer’s posting
Lead the design and development of multi-sensor, multi-task model architectures
Architect and develop the foundational modeling libraries and software powering model development and experimentation.
Design and implement scalable core model components, including sensor encoders, sensor fusion modules, backbones
leading optimizations for latency, throughput, and memory to operate efficiently within strict compute budgets
Drive rapid prototyping by building and maintaining flexible pipelines and development environments
Education & alternatives
We prefer: - MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline - Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
Tools in this posting
- C++
- Python
- PyTorch
- TensorFlow
Source — Tool mentions in context
- 7+ years experience in Machine Learning and/or Computer Vision - Strong expertise in Python and C++ and a solid software engineering background - Experience with ML frameworks like PyTorch, JAX, or Tensorflow
- Strong expertise in Python and C++ and a solid software engineering background - Experience with ML frameworks like PyTorch, JAX, or Tensorflow We prefer:
Posting record
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- Live
- First seen by us
- Aug 29, 2026 · 62 days ago
- Recorded sightings
- 130
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on careers.withwaymo.com. The employer’s form will show what is required.
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Job description
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.
In this hybrid role, you'll report to a Staff Technical Lead Manager.
You will:
- Lead the design and development of multi-sensor, multi-task model architectures for dense and complete scene understanding with a focus on key tasks including object detection, occupancy prediction, road understanding, and trajectory planning.
- Architect and develop the foundational modeling libraries and software powering model development and experimentation.
- Design and implement scalable core model components, including sensor encoders, sensor fusion modules, backbones, and temporal aggregation / memory blocks.
- Adapt SOTA ML technologies to unique compute requirements, leading optimizations for latency, throughput, and memory to operate efficiently within strict compute budgets.
- Drive rapid prototyping by building and maintaining flexible pipelines and development environments for fast iteration on novel model designs, enabling seamless integration of field advancements and in-depth analysis of model training dynamics and learned representations.
You have:
- Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
- 7+ years experience in Machine Learning and/or Computer Vision
- Strong expertise in Python and C++ and a solid software engineering background
- Experience with ML frameworks like PyTorch, JAX, or Tensorflow
We prefer:
- MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
- Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary Range $251,000—$310,000 USD
- Location & working pattern
Mountain View, California, United States; San Francisco, California, United States
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. In this hybrid role, you'll report to a Staff Technical Lead Manager. You will:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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