Research Scientist / Machine Learning Engineer

Research Scientist/Software Engineer, Machine Learning

This hybrid, or remote role from London, will report to a Senior Staff Research Scientist. #LI-Hybrid

The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet.

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. This 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 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.
• Experience collaborating with cross functional teams
• Strong experience programming in Python with robust and efficient code

It's preferred if you have:

• Experience programming in C++
• PHD in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
• 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.)

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, gym membership, and special wellness programs.

Financial wellness: Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, pension plans with company match, pension redirections, retirement planning, 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 26 weeks of maternity leave paid at 100% with the option to take up to 52 weeks, and non-birthing parent gets 18 weeks of paid leave), and 20 days of subsidized backup childcare or adult/elder care..

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, commuter benefits,, and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more.