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Home›Jobs›Waymo›Machine Learning Engineer
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

Waymo • Mountain View, CA, USA

Posted 3w ago🏛️ On-SiteMid-LevelMachine learning engineer📍 Mountain view
Apply Now →

Skills & Technologies

Machine learningPythonTensorFlowReinforcement learning

Overview

Waymo is seeking a Machine Learning Engineer to develop advanced simulation solutions for autonomous driving technology. You'll work with Python and TensorFlow to enhance the performance of the Waymo Driver. This role requires expertise in machine learning and simulation technologies.

Job Description

Who you are

You have a strong background in machine learning, with experience in developing and implementing advanced algorithms that enhance system performance. Your proficiency in Python allows you to build robust models and simulations that accurately represent real-world scenarios. You understand the intricacies of reinforcement learning and how it can be applied to improve decision-making processes in autonomous systems.

You thrive in collaborative environments, working alongside software engineers and data scientists to create innovative solutions. Your ability to communicate complex technical concepts clearly makes you an effective team member, capable of contributing to discussions that shape the direction of projects. You are detail-oriented and committed to producing high-quality work that meets the rigorous standards of the autonomous driving industry.

Desirable

Experience with large foundational models and world understanding capabilities is a plus. Familiarity with simulation technologies and their application in autonomous driving will set you apart. You are eager to learn and adapt to new technologies, continuously seeking ways to improve your skills and knowledge in the field.

What you'll do

As a Machine Learning Engineer at Waymo, you will be responsible for developing state-of-the-art simulations that test and train the Waymo Driver. You will apply advanced machine learning algorithms to model realistic environments, including agents, roads, and traffic systems. Your work will directly contribute to the safety and efficiency of autonomous driving technology, impacting millions of riders.

You will collaborate with a diverse team of engineers and scientists, sharing insights and best practices to enhance the overall performance of the Waymo Driver. Your role will involve experimenting with various machine learning techniques, analyzing results, and iterating on models to achieve optimal outcomes. You will also participate in code reviews and contribute to the development of best practices within the team.

Your contributions will help shape the future of mobility, as you work on projects that have the potential to save lives and improve access to transportation. You will be encouraged to innovate and think creatively, pushing the boundaries of what is possible in the field of autonomous driving.

What we offer

Waymo provides a competitive salary range of $170,000—$216,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will have access to generous company benefits, including health and wellness programs, professional development opportunities, and a collaborative work environment that values diversity and inclusion. Join us in our mission to create the world's most trusted driver and make a meaningful impact on the future of transportation.

Interested in this role?

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