About Waymo
Revolutionizing transportation with autonomous driving
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...
Machine Learning Engineer • Senior
Skills & Technologies
Overview
Waymo is seeking a Senior/Staff ML Engineer specializing in 3D/4D world modeling and simulation. You'll develop advanced simulation solutions using generative and reconstructive ML algorithms. This role requires expertise in Python and machine learning technologies.
Job Description
Who you are
You have 5+ years of experience in machine learning engineering, particularly in developing simulation solutions that model complex environments. Your background includes working with generative and reconstructive ML algorithms, and you are adept at creating dynamic virtual worlds that enhance the training and validation of autonomous systems.
You possess strong programming skills in Python and are familiar with frameworks such as TensorFlow and Keras. Your experience includes leveraging large-scale datasets to improve the fidelity and scalability of simulations, and you understand the intricacies of modeling realistic agents, traffic systems, and sensor data.
You thrive in collaborative environments and enjoy working with diverse teams of engineers and researchers. Your communication skills allow you to articulate complex technical concepts to both technical and non-technical stakeholders, fostering a culture of innovation and teamwork.
Desirable
Experience with 3D modeling tools and simulation software is a plus. Familiarity with autonomous driving technologies and the challenges associated with real-world applications will set you apart. You are passionate about pushing the boundaries of machine learning and simulation technologies to create impactful solutions.
What you'll do
In this role, you will be responsible for developing state-of-the-art simulations that test and validate the Waymo Driver. You will collaborate with cross-functional teams to design and implement advanced algorithms that model realistic environments, including agents, roads, and traffic systems. Your work will directly influence the development of autonomous driving technologies, ensuring safety and reliability.
You will leverage your expertise in machine learning to enhance the scalability and controllability of simulations, pushing the frontiers of 3D world modeling. Your contributions will involve experimenting with various ML techniques and optimizing algorithms for performance and accuracy.
You will also participate in code reviews and contribute to the continuous improvement of the team's processes and methodologies. By mentoring junior engineers and sharing your knowledge, you will help cultivate a culture of learning and growth within the team.
What we offer
Waymo provides a competitive salary range of $204,000—$259,000 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 innovation.
Join Waymo and be part of a mission-driven team that is transforming mobility and making roads safer for everyone. Your work will have a direct impact on the future of transportation, and you will be at the forefront of technological advancements in autonomous driving.
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