Software Engineer, Perception, Scene Understanding

Posted 3 Days Ago
Be an Early Applicant
Mountain View, CA
170K-216K Annually
Mid level
Automotive
The Role
Develop and deploy ML models for scene understanding using computer vision techniques. Collaborate with research teams and manage deep learning pipelines.
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 Perception Scene Semantics team is responsible for developing ML models for scene understanding around construction, emergency scenes, mapless driving and world changes. The team works on the end to end ML pipeline from data mining, labeling, training onboard / offboard models, and deployment. We need someone with strong ML experience to drive the architecture upgrades and product feature development.

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

You will:

  • Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs), multi-modal sensor fusion architectures for scene understanding
  • Develop data mining, labeling, training and eval pipelines to support the onboard development
  • Collaborate and work in partnership with research teams across Alphabet
  • Design large-scale foundation models trained on our vast data


You have:

  • BS degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 3+ years of industry or research experience with Large Language Models (LLM), Vision Language Models (VLM) or Computer Vision
  • 3+ years experience with Python
  • Hands-on experience with deep learning frameworks such as Jax, PyTorch, Tensorflow


We prefer:

  • PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI/IJCV/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

$170,000$216,000 USD

Top Skills

C++
Jax
Large Language Models (Llm)
Python
PyTorch
TensorFlow
Vision Language Models (Vlm)
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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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