Senior SWE, Perception ML/VLM

Posted Yesterday
Be an Early Applicant
3 Locations
192K-243K Annually
Senior level
Automotive
The Role
In this role, you will apply sensor fusion and machine learning techniques to solve real-world challenges. You will develop and deploy machine learning models, including vision language models (VLMs), and create data mining, labeling, training, and evaluation pipelines. Collaboration with product, infrastructure, and research teams is key to advancing the efforts in perception ML and VLMs.
Summary Generated by Built In

Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

The Sensor Pipelines team applies sensor fusion and ML approaches to address critical challenges in Perception; like detections of Collisions, Antagonistic Behaviors, Sensing Occlusions, etc. We conduct 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 researchers like you to develop complex models and techniques at scale.

In this hybrid role, you will report to a Technical Lead Manager.

You will:

  • Apply sensor fusion, machine learning techniques to solve real-world challenges.
  • Develop and deploy machine learning models, including vision language models (VLMs).
  • Develop data mining, labeling, training and eval pipelines to support the onboard development.
  • Collaborate and work in partnership with product, infra and research teams across Waymo.

You have:

  • Bachelors in Computer Science or a similar discipline, or an equivalent amount of experience
  • 5+ years experience in Machine Learning and/or Autonomous Vehicles
  • Experience with Python
  • Hands-on experience with deep learning frameworks (ie: PyTorch, Tensorflow, etc)

We prefer:

  • MS or PhD degree in Computer Science, Robotics or a similar discipline
  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, or PAMI
  • Github repositories or Tech Blogs of LLMs/ VLMs
  • Experience with C++

#LI-Hybrid

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. 

Salary Range

$192,000$243,000 USD

Top Skills

C++
Python
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The Company
Mountain View, CA
2,359 Employees
On-site Workplace
Year Founded: 2009

What We Do

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives.
Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.

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