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 goingSince our start as the google self-driving car project in 2009, waymo has been focused on building the world’s most experienced driver in hopes of improving the world`s access to mobility while saving thousands of lives now lost to traffic crashesOur waymo driver powers waymo one, our fully autonomous ride-hailing service, as well as waymo via, our trucking and local delivery serviceTo date, waymo has driven over 20 million miles autonomously on public roads across 25 u.sCities and conducted over 20 billion miles of simulation testing.
The mission of the waymo 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 conditionsAs part of our work, we also initiate and foster collaborations with other research teams in alphabetResearch areas that we are currently focusing on include perception, behavior prediction and reinforcement learning.
In this research scientist role, you will:
Research new machine learning problems, models and algorithms
Collaborate on deploying these models on the waymo vehicles
Initiate and support collaborations with alphabet researchers on autonomous driving-related research topics
We expect your scope to grow over time as you become an expert in some of the machine learning research areas above, and you’ll be initiating and leading increasingly ambitious new projects
At a minimum we’d like you to have:
Ph.dIn computer science or related quantitative field, or b.s./m.sIn computer science or related quantitative field with 5+ years of relevant experience
Experience as a self-directed engineer / research scientist who excels at driving new research ideas from conception and experimentation to productionization
Strong knowledge of machine learning; experience with machine learning research and the experiment-launch-iterate cycle in one or more projects
Outstanding technical leadership and communication skills to lead new research areas and multi-team collaborations
Strong programming skills in c++ or python
Experience with distributed computing (mapreduce, flume, etc)
It’s preferred if you have:
Expertise in one or more of the following areas is a plus: deep learning, computer vision, robotics, reinforcement learning, behavior prediction, slam
Research experience and publications in machine learning or related fields is a plus
Experience of using tensorflow or similar large-scale machine learning systems in production is a plus.
Tech lead experience is a plus
Us-remote includes employees working from their primary residence in certain locations only, such as arizona, california, connecticut, dc, florida, georgia, hawaii, illinois, maine, maryland, massachusetts, michigan, missouri, new jersey, new york, north carolina, ohio, oregon, pennsylvania, texas, utah, virginia, washington, and wisconsinThis list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.
Note: the following is only applicable for roles hired in the usAs we keep the safety of our employees and our communities top of mind, covid-19 vaccinations continue to be a critical prevention measure to help end the pandemicBecause of this, waymo requires all us-based employees who perform work onsite for waymo to be fully vaccinated against covid-19If you are unable to be vaccinated, waymo will provide a reasonable accommodation consistent with applicable law.
Posted 14 days ago