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 Mid-Level

WaymoMountain View - On-Site

Posted 1w ago🏛️ On-SiteMid-LevelMachine Learning Engineer📍 Mountain View💰 $204,000 - $259,000 / yearly
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Overview

Waymo is seeking a Machine Learning Engineer to design, train, and deploy models for automating the creation of HD maps. You'll work with cutting-edge ML techniques including Generative AI and Vision-Language Models. This role requires expertise in machine learning and Python.

Job Description

Who you are

You have a strong background in machine learning, with experience in designing, training, and deploying models that automate complex processes. Your expertise includes working with state-of-the-art techniques such as Generative AI and Vision-Language Models, which you have applied to real-world problems. You are comfortable with the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization. You thrive in collaborative environments, working closely with cross-functional teams to integrate machine learning solutions into broader projects. You are detail-oriented and have a passion for improving systems through innovative technology. You understand the importance of high-quality data and are skilled in data processing techniques to ensure the success of your models.

Desirable

Experience with autonomous systems or mapping technologies would be a plus, as would familiarity with cloud platforms for deploying machine learning models. You are eager to stay updated with the latest advancements in machine learning and are open to exploring new methodologies that can enhance your work. You have a proactive approach to problem-solving and are excited about the potential impact of your work on autonomous driving technology.

What you'll do

In this role, you will be responsible for designing, training, and deploying machine learning models that automate the creation of Waymo's high-definition maps. You will apply and advance state-of-the-art ML techniques, including Vision-Language Models and other Generative AI approaches, to pioneer new solutions in mapping automation. You will own the complete model development lifecycle, ensuring that your models are robust and scalable. Collaboration is key, as you will work closely with partner ML teams, such as Waymo Perception, to ensure that the mapping data meets the needs of various applications. You will also engage in data mining and processing to prepare datasets for training, and you will evaluate and validate your models to ensure they perform effectively in real-world scenarios. Your contributions will directly support the mission of making autonomous driving safer and more reliable.

What we offer

Waymo offers a competitive salary range of $204,000—$259,000 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 a collaborative and innovative environment. We provide generous company benefits and support your professional growth through continuous learning opportunities. Join us in our mission to improve access to mobility and save lives through advanced technology.

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