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Software Engineer, Machine Learning/Computer Vision

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Waymo

Jan 27, 2025

Applications are closed

  • Job
    Full-time
    Mid Level
  • Data
    IT & Cybersecurity
  • Mountain View

Requirements

  • You Have
  • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 3+ years experience in Computer Vision and/or Machine Learning
  • Experience with Python
  • 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
  • Experience with C++

Responsibilities

  • Apply machine learning techniques to build multi-modal sensor fusion architectures including object detection and tracking, segmentation, road understanding, flow estimation and future prediction.
  • Design large-scale foundation models trained on our vast data
  • Develop data mining, labeling, training and evaluation pipelines to help the Waymo Driver

FAQs

What is the primary focus of the Perception team at Waymo?

The Perception team builds the system that "sees" the world around the self-driving car and conducts research to address real-world problems related to autonomous driving.

What qualifications are required for this Software Engineer position?

A Bachelor's degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience is required, along with 3+ years of experience in Computer Vision and/or Machine Learning.

What programming languages should I be proficient in for this role?

Proficiency in Python is required, and experience with C++ is preferred.

Is prior research experience valued for this position?

Yes, publications at top-tier conferences such as CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, or PAMI are preferred.

What type of projects can I expect to work on in this role?

You will work on applying machine learning techniques to build multi-modal sensor fusion architectures, as well as designing large-scale foundation models, and developing data mining, labeling, training, and evaluation pipelines.

What kind of benefits can Waymo employees expect?

Waymo employees are eligible to participate in the discretionary annual bonus program, equity incentive plan, and a generous company benefits program, subject to eligibility requirements.

What is the expected salary range for this position?

The expected base salary range for this full-time position is $158,000 to $200,000 USD, based on job-related factors.

Will I be working under direct supervision?

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

How does Waymo approach data for research in machine learning?

Waymo provides access to millions of miles of driving data from a diverse set of sensors, allowing researchers to develop complex models and techniques at scale.

Is advanced education preferred for this role?

Yes, a Master's or PhD degree in Computer Science, Robotics, or a similar discipline is preferred.

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Waymo

Waymo is an autonomous driving technology company creating a new way forward in mobility.

Technology
Industry
1001-5000
Employees
2009
Founded Year

Mission & Purpose

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.

Culture & Values

  • Our customers are at the heart of everything we do

    We put our customers’ needs first in the products and experiences we create, so that we can help transform their lives.

  • Safety is our foundation

    We follow rigorous engineering development and test practices, analyzing and applying industry safety standards where appropriate, and continuously improving existing and developing new safety methods.

  • We pioneer

    We challenge conventions and past assumptions to create a future where the Waymo Driver transforms global mobility.

  • Act with thoughtful urgency

    We set and land ambitious plans without compromising safety and make the best decisions based on the information available, valuing critical thinking and collaboration.

  • Respect each other

    We act with humility and treat others with respect regardless of tenure or title, and we assume positive intent of our colleagues to bring forth ideas and act in Waymo’s best interests.

  • Be responsible owners

    We use company resources thoughtfully, are mindful of sustainability, and make decisions that are in the best interest of Waymo.

  • We’re stronger together

    We recognize that no one can solve the challenges we tackle on their own, so we’re building an inclusive culture where all Waymonauts collaborate and feel valued and engaged.

  • Optionality creates opportunities

    Keeping our options open is inherently valuable, so we approach our work with an open mind and make the best decisions at the right time – not too soon, not too late.

  • Always be learning

    We stay undaunted, curious, and open-minded to reflect and learn from both our successes and failures, and we adapt quickly to new data and information.

  • Celebrate progress

    We recognize that every step matters, so we pause to mark major milestones and celebrate the pioneering achievements that move us forward.

Benefits

  • Competitive total rewards

    We offer generous medical, dental and vision benefits. We also offer competitive base pay and equity packages

  • Compelling Challenges

    We work on cutting-edge technology in a fast-moving and mission-driven environment. our passionate workforce and mission is dedicated to brining our autonomous driving technology to the world