2027 Summer Intern MS PhD Conflict Behavior

Skills

About the Role

You will calibrate and validate reachability and safety-margin metrics against expert evaluations, analyze real-world and simulated driving logs, identify edge cases, and help integrate quantitative safety signals into automated event-triage and release-readiness workflows.

Requirements

• Pursue a Master's or PhD degree in Computer Science, Engineering, Physics, Statistics, Data Science, or a related quantitative field
• Demonstrate proficiency in Python or C++
• Analyze, wrangle, and visualize large-scale datasets
• Demonstrate analytical and statistical skills for validating quantitative models

Responsibilities

• Calibrate and validate physical reachability and safety-margin metrics against expert human evaluations
• Analyze large-scale real-world and simulated driving logs
• Evaluate model accuracy, characterize edge cases, and optimize trade-offs
• Integrate quantitative safety signals into automated event-triage and release-readiness workflows

Benefits

• Medical, dental, and vision insurance
• Mental wellness support
• Gym membership and wellness programs
• Bonus opportunities and equity
• Employee discounts
• Flexible work from another location for four weeks per year
• Paid time off, bereavement leave, sick leave, and parental leave
• Paid leave for birthing and non-birthing parents
• Education reimbursement
• Volunteer time off
• Access to Google offices, cafes, wellness centers, and massages
• At-home fitness and cooking classes