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Home›Jobs›Waymo›Staff 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

Staff Machine Learning Engineer

Waymo • Mountain View, CA, USA

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

Skills & Technologies

Deep learningMachine learningGen aiLlmVlm

Overview

Waymo is hiring a Staff Machine Learning Engineer to lead the development of advanced machine learning models for autonomous vehicles. You'll work with technologies like Deep Learning and Gen AI to enhance evaluation systems. This role requires expertise in machine learning techniques and a passion for improving technology performance.

Job Description

Who you are

You have extensive experience in machine learning and deep learning, with a strong background in developing and deploying models that enhance autonomous systems. Your expertise in generative AI, particularly in LLM and VLM solutions, positions you to contribute significantly to the evaluation systems for self-driving cars. You are driven by a desire to improve technology performance and have a proven track record of applying machine learning techniques to real-world problems.

You thrive in collaborative environments, working closely with researchers and software engineers to innovate and implement cutting-edge solutions. Your ability to combine expert human judgments with advanced machine learning models allows you to deliver high-quality training and evaluation data for various metrics and components. You are passionate about the impact of autonomous driving technology and are eager to contribute to a mission that aims to save lives and improve mobility.

Desirable

Experience with large-scale data systems and simulation workflows is a plus, as is familiarity with the challenges of autonomous vehicle behavior analysis. You are comfortable leading projects and mentoring junior team members, fostering a culture of learning and innovation within your team.

What you'll do

In this role, you will lead the development of state-of-the-art deep learning and machine learning models that enhance human-led triaging processes and introduce automation for high-volume workflows. You will design and build generative AI solutions that analyze self-driving car behavior, contributing to the continuous improvement of the Waymo Driver. Your work will involve collaborating with cross-functional teams to ensure that the models you develop are robust, scalable, and effective in real-world applications.

You will also be responsible for improving and speeding up the evaluation and onboarding journeys for developers, ensuring that the tools and systems you create are user-friendly and efficient. By leveraging your expertise in machine learning, you will help shape the future of autonomous driving technology, making it safer and more accessible for everyone.

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 be part of a pioneering team that is at the forefront of autonomous driving technology, working in an environment that values innovation and collaboration. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products.

Interested in this role?

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