Data Science Intern: Drive Safety with ML & Simulation

Waymo LLC; San Francisco (CA); Hybrid; USD 97,000 - 138,000; Full time

Benefits offered by this job

Housing/relocation bonus

Medical, dental, vision insurance

Free meals onsite

Job summary

Waymo LLC is seeking a Data Science intern in a hybrid onsite role in San Francisco. The position targets PhD students in quantitative fields and involves analyzing large-scale on-road and simulation data to quantify the Waymo Driver's safety and driving quality.

You will develop statistical and ML methodologies, build repeatable data pipelines, and collaborate with engineering teams to automate data exploration and reporting. Rolling resumes accepted; interns receive competitive benefits.

Qualifications

• Pursuing PhD in a quantitative field (e.g. statistics, CS, math, physics, engineering).
• Proficiency in Python (or R) for data manipulation, wrangling, and visualization.
• Strong foundation in statistical theory and methods.

Responsibilities

• Analyze large-scale on-road and simulation data to build metrics and predictive features for Waymo Driver's safety and quality.
• Develop and validate statistical/ML methodologies for evaluating large-scale models and rare events.
• Build tools and pipelines to turn analyses into repeatable workflows with engineering teams.

Skills

Python (or R) proficiency

Statistical theory

Education

PhD in quantitative field

Tools

SQL

C/C++

Job description

Waymo LLC is seeking a Data Science intern in a hybrid onsite role in San Francisco. The position targets PhD students in quantitative fields and involves analyzing large-scale on-road and simulation data to quantify the Waymo Driver's safety and driving quality.

You will develop statistical and ML methodologies, build repeatable data pipelines, and collaborate with engineering teams to automate data exploration and reporting. Rolling resumes accepted; interns receive competitive benefits.