Research Scientist

Mountain View, CA, United States

Mountain View, California, United States

New York, New York, United States

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

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:

Adapt pretrained multimodal models to the domain of autonomous driving

Design diverse approaches of world modeling and compare their performance on driving specific tasks (scene description, motion forecasting, object tracking, and planning)

Develop scaling laws analysis for novel problems in autonomous driving that emerge from training, finetuning, sampling, and distillation

Collaborating with the planner and perception teams and coordinating cross-functional efforts

At a minimum we'd like you to have:

Bachelor's degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience

In-depth knowledge of designing and training large generative models

Experience troubleshooting and debugging large training jobs, and curating appropriate datasets

Experience in distributed training and optimization

Proficiency in Python

It's preferred if you have:

Masters or PhD, preferably in Machine Learning domain

Track record of publications in top-tier conferences or leading open source projects in the related fields

Proficiency in machine learning compiler technologies such as XLA, Triton and distributed training libraries such as DeepSpeed

Experience in quantization of machine learning model

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), 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, 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 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 24 weeks of paid leave with up to 4 weeks of additional leave before their due date, and non-birthing parent gets 18 weeks of paid leave), and 20 days of subsidized 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 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, and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more.

The expected base salary range for this full-time position across US locations 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. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

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.

Salary Range

$158,000 — $200,000 USD

We appreciate your interest in Waymo. Waymo is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to ensuring equal opportunity for qualified individuals with disabilities. If you are an individual with a disability and require an accommodation to participate in the application or interview process, please let the recruiting team know or email [email protected]. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Apply now Resume/CV*

Upload file .pdf, .doc, or .docx only. Attachments must not exceed 10MB.

Upload file .pdf, .doc, or .docx only. Attachments must not exceed 10MB.

How did you hear about this opportunity?

A personal contact at Google/Alphabet told me about the opportunity

A personal contact at Waymo told me about the opportunity

Alphabet's Internal Job Board (Grow)

Handshake

Indeed

LinkedIn

Social Media (Facebook, Twitter, etc.)

University Event (info session, tech talk, luncheon, etc.)

University Job Board

Waymo Careers Page

Waymo Industry Event (conference, career fair, etc.)

Word of Mouth

Other

Work Authorization*

Note: Upon hire, all employees are required to submit proof of legal right to work, consistent with applicable law. Waymo also participates in the E-Verify program.

I am authorized to work for any employer in the country in which this position is based.

I require, or in the future will require, Waymo's sponsorship to obtain work authorization in the country in which this position is based (e.g. H-1B, TN, etc.)

My status to work in the country in which this position is based is unknown.

Please review and acknowledge our Candidate Privacy Policy linked below:*

I acknowledge that I have read and understood the terms of the Waymo Applicant and Candidate Privacy Policy.

Are you a current or former Alphabet employee (including Google and other Alphabet subsidiaries)?*

Current Alphabet Employee or Intern

Former Alphabet Employee or Intern

Current or Former member of Alphabet extended workforce

Never worked at Alphabet

Waymo would greatly appreciate it if you could provide us with your identity information. Your individual identity data will not be accessible to recruiters, hiring managers or others who interview you. Instead, it is used in aggregate to track and report Equity, Inclusion, and Diversity (EID) progress. Answering these questions is entirely voluntary, and a decision not to answer will not be held against you.

If you decide to provide demographic information, it will be recorded and maintained in a confidential file. Whatever your decision about providing this data, it will not be considered in the hiring process or as a basis for employment decisions. If you are offered and accept employment with Waymo, the information collected during the application and recruitment process will become part of your confidential employment record.

Gender Man Woman Non-Binary I don't wish to answer

Race/Ethnicity (Select all that apply)

Race/Ethnicity (Select all that apply) Hispanic or Latino American Indian or Alaska Native Asian Black or African American Native Hawaiian or Other Pacific Islander White I don't wish to answer

Are you a veteran or reservist?

Are you a veteran or reservist? Yes No I don't wish to answer

Do you identify as a member of the LGBTQ+ (e.g., lesbian, gay, bisexual, queer, asexual) community?

Do you identify as a member of the LGBTQ+ (e.g., lesbian, gay, bisexual, queer, asexual) community? Yes No I don't wish to answer

By submitting my application, I certify that the information provided (including in my resume/CV) is true and correct. I understand that any misrepresentations or false statements made in connection with the recruitment process may be grounds for disqualification from further consideration for employment or, if employed, separation of employment.

Sorry, an error occurred. Please verify all fields have been filled and try again.

Your application has been successful. Thank You You should receive an e-mail within the next few minutes.

#J-18808-Ljbffr