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Waymo

Software Engineer, Marketplace ML Platform

Waymo

Published 13 May 2026
Mountain View, CA, USA
175K - 215K USD Annual
Full Time

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Role Highlights

Languages used

Java
C++
Python

Key skills

Feature Engineering
Machine Learning
Computer Science
Routing
Optimization
Inference
Infrastructure
Backend
Data
Automation

Tools, Libraries and Frameworks

Core ML
Tensorflow
PyTorch
Keras

Description

The role involves implementing and scaling the core economic engine for commercial ride-hailing services. The individual will develop high-level infrastructure code to automate the training and deployment of optimization and prediction models. These models are responsible for making real-time decisions regarding vehicle pricing, matching, and positioning. The position focuses on building backend platforms that support various product use cases and services.

Required Qualifications and Skills

Candidates must possess a Bachelor of Science degree in Computer Science or equivalent practical experience. At least four years of experience programming in backend languages such as Java or C++ is required. Applicants need experience building backend platforms that support multiple services. Additionally, the role requires prior Machine Learning Engineering experience using Python and frameworks like TensorFlow, PyTorch, or Keras.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Waymo

Description

Waymo is an autonomous driving technology company that began as the Google Self-Driving Car Project in 2009. With a mission to enhance mobility and safety, Waymo has developed the Waymo Driver, powering their fully autonomous ride-hailing and local delivery services. To date, Waymo has achieved over 20 million miles of autonomous driving on public roads across 25 US cities and 20 billion miles of simulation testing. The company emphasizes mission-driven innovation and a collaborative culture, aiming to improve access to mobility while prioritizing safety and community impact.

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