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Home›Jobs›Waymo›Machine Learning Engineer, Data & Systems
Waymo

About Waymo

Revolutionizing transportation with autonomous driving

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mountain View, CA💰 $11.1b⭐ 3.7
B2CTransportAutomation

Key Highlights

  • Operates in cities like Phoenix, San Francisco, and LA
  • Completed over 10 million fully driverless rides
  • Raised $11.1 billion in funding
  • Aiming for one million trips per week by 2026

Waymo, a subsidiary of Alphabet Inc., is at the forefront of autonomous driving technology, operating robotaxis in cities like Phoenix, San Francisco, and Los Angeles. With over 10 million fully driverless rides and more than 100 million miles driven, Waymo is transforming transportation. The compan...

🎁 Benefits

Waymo offers comprehensive medical, dental, and vision insurance for employees and their dependents, along with commuter benefits and onsite wellness ...

🌟 Culture

Waymo fosters a culture of innovation and safety, focusing on the real-world application of autonomous technology. The company values diversity and in...

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Waymo

Machine Learning Engineer, Data & Systems

Waymo • Mountain View, California, United States, San Francisco, California, United States

Posted 3w agoMid-LevelMachine learning engineer📍 Mountain view📍 San francisco
Apply Now →

Skills & Technologies

PythonTensorFlowKerasAWSDockerSQL

Overview

Waymo is seeking a Machine Learning Engineer to develop and optimize systems for autonomous driving technology. You'll work with Python, TensorFlow, and AWS to analyze real-world data and improve the Waymo Driver. This role requires experience in machine learning and data systems.

Job Description

Who you are

You have a strong background in machine learning and data systems, with experience in developing and optimizing models for real-world applications. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Keras, enabling you to build and train complex models effectively. Your familiarity with cloud platforms, particularly AWS, allows you to deploy and scale machine learning solutions efficiently. You understand the importance of data quality and have experience working with large datasets, ensuring that your models are trained on reliable and relevant information. You are a collaborative team player who enjoys working with cross-functional teams to solve complex problems and drive innovation in autonomous driving technology.

Desirable

Experience with Docker for containerization and orchestration of machine learning applications is a plus. Familiarity with SQL for data manipulation and querying will enhance your ability to work with large datasets effectively. You are also encouraged to bring any experience you have with real-time data processing and analysis, as this will be beneficial in optimizing the Waymo Driver's performance.

What you'll do

As a Machine Learning Engineer at Waymo, you will be responsible for developing methods to efficiently learn from large-scale real-world data. You will work closely with the Perception team to build systems that can accurately perceive the environment around the autonomous vehicle. Your role will involve analyzing real-world behavior and developing models that can handle the complexities of interacting with dynamic environments. You will collaborate with research teams at Alphabet to address real-world challenges and contribute to the continuous improvement of the Waymo Driver. Additionally, you will optimize models for both onboard and offboard hardware, ensuring that they perform effectively in various scenarios.

What we offer

Waymo offers a competitive salary range of $170,000 to $216,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will be part of a mission-driven company focused on improving access to mobility and saving lives through autonomous driving technology. Our benefits program is generous and designed to support your well-being and professional growth. Join us in our mission to be the world's most trusted driver and make a meaningful impact in the field of autonomous technology.

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