Data Science Intern (2027 Summer, PhD)

Waymo LLC; San Francisco (CA); Hybrid; USD 34,000 - 55,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) retirement plans

Hybrid work model

Educational reimbursement

Mentorship and peer learning

Volunteer programs

Job summary

Waymo LLC is seeking a Data Science Intern to analyze large-scale on-road and simulation data, build metrics and predictive features, and validate ML methodologies. The role collaborates with multiple teams to influence development in self-driving technology and fleet operations.

A PhD candidate in a quantitative field with strong statistics and ML foundations is preferred, with experience in Python or R. The internship is hybrid onsite with opportunities for remote work; prior internship in

Qualifications

• Pursuing PhD in a quantitative field (e.g. Statistics, Computer Science, Mathematics, Physics, Engineering, Computational Social Science)
• Strong statistical theory foundation
• Experience in machine learning applications and complex data analysis, or familiarity with SQL and/or C/C++
• Experience in processing and interpreting high dimensional data such as images/videos
• Proficiency in programming with Python (or R), including data manipulation, wrangling, and visualization
• Demonstrated research capabilities through publications and a strong understanding of statistical methodologies and foundation models
• Prior internship experience (Autonomous Driving and generative AI preferred)

Responsibilities

• Analyze large-scale on-road and simulation data to build metrics, statistical models, and predictive features
• Develop and validate statistical / ML methodology - estimation, uncertainty quantification, sampling, and extrapolation
• Build tools and pipelines that turn analyses into repeatable workflows with engineering teams
• This will be a hybrid onsite internship position

Skills

Python

R

Data wrangling

Data visualization

Statistics

Machine Learning

SQL

C/C++

Research publications

Internship experience

Education

PhD candidate in quantitative field

Tools

SQL

C/C++

Job description

• The Data Science team works on a wide variety of evaluation and modeling problems, including safety evaluation, the simulation technology, driving quality and rider experience
• This role works with a variety of teams across the company to inject data science rigor and perspective, and to influence development direction in many of the critical systems in self-driving technology and fleet operations
• As a Data Science intern, you may join one of these Data Science Subteams:
• World Model Eval
• Safety Eval Tech
• Data Science Safety
• Driving Quality Data Science
• Simulation Data Science
• Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying 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!
• Analyze large-scale on-road and simulation data to build metrics, statistical models, and predictive features that quantify the Waymo Driver's safety and driving quality performance
• Develop and validate statistical / ML methodology - estimation, uncertainty quantification, sampling, and extrapolation - to use or evaluate large-scale foundation models and draw reliable conclusions about rare and critical events from limited data
• Build tools and pipelines that turn one-off analyses into repeatable workflows, partnering with engineering teams to automate data exploration, triage, and reporting
• This will be a hybrid onsite internship position

Benefits

• Medical, dental, and vision insurance for employees and dependents
• Employee assistance programs focused on mental health
• Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations
• Access to mental health apps
• Onsite wellness centers
• Medical advocacy program for transgender employees
• Counseling services
• Support programs including menopause benefit
• Second medical opinion for you and your loved ones
• Competitive compensation
• Regular bonus and equity performance grant opportunities
• Generous 401(k) and regional retirement plans
• Annual cross-company compensation review and pay equity analysis
• 1-on-1 financial coaching
• Fertility and growing family assistance
• Parental leave and baby bonding leave
• Survivor income benefit
• Backup childcare
• Elder care and support
• Caregiver leave
• Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays
• Jury duty leave
• Military leave
• Hybrid work model with remote work opportunities also available
• Educational reimbursement
• Peer learning and coaching platform
• Donation matching programs
• Volunteer hours
• Employee resource groups
• Internal community groups and local culture clubs
• Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts
• On-site meals and snacks
• Fitness centers, massage programs, and ergonomic support
• On-demand fitness, wellbeing, and cooking classes
• Commuter benefits

Proficiency in programming with Python (or R), including data manipulation, wrangling, and visualizationPursuing PhD in a quantitative field (e.g. Statistics, Computer Science, Mathematics, Physics, Engineering, Computational Social Science)Strong statistical theory foundationExperience in machine learning applications and complex data analysis, or familiarity with SQL and/or C/C++Experience in processing and interpreting high dimensional data such as images/videosDemonstrated research capabilities through publications and a strong understanding of statistical methodologies and foundation modelsPrior internship experience (Autonomous Driving and generative AI preferred)