Research Scientist / Machine Learning Engineer

This hybrid, or remote role will report to a Senior Staff Research Scientist.

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.)

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