Waymo

About Waymo

Revolutionizing transportation with autonomous driving

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mountain View, CA💰 $11.1b3.7
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...

Waymo

Machine Learning Engineer Staff

WaymoMountain View - Hybrid

Posted 1w ago🏢 HybridStaffMachine Learning Engineer📍 Mountain View💰 $238,000 - $302,000 / yearly
Apply Now →

Overview

Waymo is hiring a Staff Software Engineer specializing in Machine Learning to enhance routing and pin quality for autonomous driving. You'll work with algorithms and models to improve user experience and safety. This role requires expertise in machine learning and robotics.

Job Description

Who you are

You have extensive experience in software engineering with a focus on machine learning — you've designed and implemented algorithms that improve system performance and user experience. Your background includes working with complex data sets and developing models that enhance decision-making processes. You are proficient in Python and have a solid understanding of deep learning frameworks, which you have applied in real-world scenarios. Your experience in robotics is a significant asset, as you understand the challenges and intricacies involved in autonomous systems. You thrive in collaborative environments and enjoy working with cross-functional teams to solve complex technical challenges. You are curious and passionate about advancing autonomous driving technology, and you are eager to contribute to a mission that aims to improve mobility and safety.

Desirable

Experience with simulation tools and techniques is a plus, as it complements your machine learning skills. Familiarity with user experience considerations in autonomous systems will help you design better algorithms. You are open to learning new technologies and methodologies that can enhance your contributions to the team.

What you'll do

In this role, you will design, implement, and evaluate new algorithms and models to improve the selection of pick-up and drop-off points, focusing on factors such as walking inconvenience, safety, traffic, and user preferences. You will collaborate closely with hardware and systems engineers to ensure that your software integrates seamlessly with the Waymo Driver. Your work will involve enhancing simulation capabilities to test and validate your algorithms effectively. You will also analyze data from real-world operations to refine your models continuously. As part of a hybrid team, you will report to a Technical Lead Manager and participate in regular team meetings to discuss progress and challenges. You will have the opportunity to mentor junior engineers and contribute to their professional development, fostering a culture of learning and innovation within the team.

What we offer

Waymo provides a competitive salary range of $238,000 to $302,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will enjoy a generous benefits program that supports your health and well-being. The company culture emphasizes collaboration, innovation, and a commitment to safety and quality in autonomous driving technology. You will be part of a mission-driven organization that values your contributions and encourages you to grow your skills and advance your career in a supportive environment.

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