Senior Machine Learning Engineer, Waymo

Planning

$204-259k

+ Annual Bonus + Equity Incentive Plan

Python

Tensorflow

C++

PyTorch

Senior and Expert level

New York

San Francisco Bay Area

Autonomous driving technology

Be an early applicant

Autonomous driving technology

1001+ employees

B2CTransportAutomation

Be an early applicant

$204-259k

+ Annual Bonus + Equity Incentive Plan

Python

Tensorflow

C++

PyTorch

Senior and Expert level

New York

San Francisco Bay Area

1001+ employees

B2CTransportAutomation

Company mission

To make it simpler and safer for people to move things and themselves around.

Job

Company

Role

Who you are

BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
Proficient programming skills (eg: Python, C/C++)
Strong analytical and debugging skills
5+ years of experience in Machine Learning modeling and/or Autonomous Vehicles

Desirable

MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
Prior software development or ML research industry experience (including internships)
General software engineering experience solving motion planning or related robotics problems
Experience applying or evaluating ML-based systems in production environments
Experience with performance optimization of deep models, including with respect to specific hardware architectures

What the job involves

In this hybrid role, you will report to a member on our PrePlan team. Team matching happens after you've completed your onsite interviews
Design, train machine learning models in TensorFlow and/or JAX, and deploy machine learning models into production
Transform ambiguous, real-world challenges into precise engineering/ML problems
Create the necessary tools, algorithms, evaluation methods, implement ML solutions on Google's extensive data infrastructure, and optimize them for real-time execution within vehicles
Collaborate with researchers, product area owners and engineers to develop safe, smooth, and predictive planning behavior for all road users & deliver product requirements

Our take

Waymo is an autonomous driving technology company that began as the Google self-driving car project in 2009. After initial development, it secured permits to deploy autonomous ride-hailing services in cities including Phoenix and San Francisco, but has recently hit a major bump in the road with safety concerns that resulted in a recall of over 400 self-driving cars.

With the autonomous driving industry already besieged by setbacks and public distrust, this development does Waymo no favours. That said, as an industry leader there remains the possibility it will see out the storm, but massive attention will need to be given to rebuilding trust with consumers if this is to be the case.

Steph

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Top investors

-1% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 4 rounds)

Aug 2024

$5.6bn

SERIES C

Jun 2021

$2.5bn

GROWTH EQUITY VC

Total funding: $11.1bn

Company HQ

Mountain View, CA

Leadership

Dmitri Dolgov

(Co-CEO, not founder)

Former CTO of the company. After a PhD at the University of Michigan, they worked as a Stanford Postdoctoral Researcher before moving to the Toyota Research Institute. They also spent 8 years at Google as a Software Engineer.

Tekedra N. Mawakana

(Co-CEO, not founder)

Has worked at Waymo since 2017, as Global Head of Policy then CXO then COO before becoming Co-CEO. They are on the Board of Advisors at Operator Collective, Board of Directors at Intuit, and an Advisor for Boom Supersonic.

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