Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they’re going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver—The World’s Most Experienced Driver™—to improve everyone's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.
At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people's lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees who have integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture. We want each team member to feel welcomed and included in every step of our exciting journey.
Waymo is looking for ML engineers with the experience and passion to solve the autonomous vehicle driving problem with ML. We have had incredible success applying state-of-the art techniques to the driving problem in the last several years (e.g. publications Wayformers, SceneTransformers). Now, we are ready to increase ML’s usage to the next level, taking advantage of state-of-the-art ML. We are looking for experts in scaling ML model usage, with experience with LLMs, Vision LMs, parameter efficient fine-tuning and performance optimization, working with TPUs on Alphabet’s ML stack.
In this role, you'll:
- Design and implement next-gen generative models to improve autonomous driving
- Closely follow and advance state-of-the-art literature in the generative modeling and autonomous vehicle space
- Develop novel ways to inspect, understand, filter, improve and synthesize data
- Effectively collaborate with a team of researchers and engineers to apply advanced generative models to production simulators or onboard use cases
At a minimum we'd like you to have:
- BS/MS degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
- Experience with Deep Learning and Generative Models
- Strong coding skills, specifically Python/C++
It's preferred if you have:
- PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
- 2+ years of computer science or deep learning experience
- Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.
- Experience in generative models for domains such as images, videos, 3D, human animation, traffic, simulation using techniques such as diffusion or autoregressive models
While at Waymo, you will enjoy benefits that cover…
Health and wellness: Our people are at the heart of everything we do. At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, a Flexible Spending Account (FSA), a Health Saving Account (HSA), and special wellness programs.
Financial wellness: Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, a generous 401(k) plan, 1-on-1 financial coaching, a 529 College Savings Plan and lots of other perks and employee discounts.
Flexibility and time off: Take the time you need to relax and recharge. Enjoy the flexibility to work from another location for four weeks per year. We support an on-site or hybrid work model and offer remote working opportunities, paid time off, bereavement, sick, and parental leave.
Supporting families: When it comes to growing your family or caring for your loved ones, you have our full support. Enhanced leave options include paid parental leave (birthing parent gets 24 weeks of paid leave with up to 4 weeks of additional leave before their due date, and non-birthing parent gets 18 weeks of paid leave), and 20 days of subsidized backup childcare or adult/elder care.. Access to fertility care or adoption support as you grow your family.
Community and personal development: At Waymo, you’ll find a range of opportunities to grow, connect, and give back. We offer education reimbursement, personal and professional development, mentorship, and other ways to connect through Employee Resource Groups (ERGs), other internal groups, and even time off to volunteer.
Cool perks: Access to Google offices, cafes, wellness centers, massages, and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more.
