Machine Learning Engineer
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Transatlantic Cost of Living & Purchasing Power Benchmark
Position Overview & Specifications
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.
In this role, you’ll:
Work with a creative team of people who are responsible for ensuring that the behavior of our cars is safe, smooth, and predictable to other road users, which includes gracefully handling many complex situations involving social aspects (merging, negotiating narrow roads, etc), while dealing with noisy, uncertain, and incomplete information.
Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to Google-sized data pipelines; and streamline them to run in real-time on the cars.
Collaborate with other teams, including the ML infrastructure, data science and systems engineering teams, as well as various research teams such as Waymo Research, Google Brain, DeepMind and academia.
At a minimum we’d like you to have:
MS/PHD in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
Experience solving problems using Machine Learning with Tensorflow or equivalent tools
Ability to collaborate within and across teams
Strong experience programming in Python with robust and efficient code
It’s preferred if you have:
Experience programming in C++.
Deep knowledge of sampling and estimation, including Monte Carlo and importance sampling.
Experience with Deep Learning Models (e.g. RNN/LSTM, CNN, VAE, GAN, etc.)
The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
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), on-site physicians and/or nurses in some locations, 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 or regional retirement plans, 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, hybrid work model and offer remote working opportunities, paid time off, Waymo recharge days, 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, and non-birthing parent gets 18 weeks of paid leave), and 20 subsidized days of 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 tuition 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, personal training sessions, massages, haircuts, bike repairs, office transportation, commuter benefits and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more.
- Please note that while our benefits philosophy is the same in every place Waymonauts work, benefits may vary by office/country and are subject to eligibility requirements.
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
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