Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where theyre going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo DriverThe Worlds Most Experienced Driverto 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 internship, you willDefine, plan and execute cutting-edge deep learning research to advance experiencesDevelop novel deep learning techniques to achieve state-of-the-art accuracy within the constraints of on-device and real-time execution.Collaborate with other research scientists and software engineers to develop innovative deep learning techniques for vision and robotics.Collaborate with software and hardware engineers to develop tradeoff curves for accuracy vs the runtime resources/constraints such as latency.Communicate the experimental results and the recommendations clearly, both within the group as well as to the cross-functional groups.QualificationsWaymo interns work alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: leveraging your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!Required qualifications:PhD candidate in Computer Science, EE, Mathematics or similar technical field of studyExperience programming in Python, C .Experience with developing deep learning algorithms on a ML framework, such as Pytorch, Tensorflow or JAX.Interests and a good understanding of HW system and model optimization techniques, such as quantization, distillation, low-rank approximation or efficient transformer.Preferred qualifications:Publication track record in machine learning conferences and/or journals on the topics of efficient deep learning or ML System.Experience in optimizing deep learning networks for execution constraints besides just the final accuracy.Familiar with HW performance analysis. (or ML analysis system)Background in computer vision, natural language understanding, robotics.The expected base salary for this full-time position is listed below. The salary will be prorated based on the number of weeks you are employed as an intern. Interns are also eligible to participate in the Companys generous benefits programs, subject to eligibility requirements. PhD Pay $125,000$125,000 USDWhile at Waymo, you will enjoy benefits that coverHealth 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, youll 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.#J-18808-Ljbffr

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