2027 Summer Intern, MS/PhD, Conflict Behavior

Responsibilities

• Calibrate and validate physical reachability and safety-margin metrics against expert human evaluations to quantify "proactive caution" in complex scenarios
• Analyze large-scale real-world and simulated driving logs to evaluate model accuracy, characterize edge cases, and optimize trade-offs
• Partner cross-functionally to integrate quantitative safety signals into automated event triage and release-readiness workflows

Requirements

• Currently pursuing an Master's or PhD degree in Computer Science, Engineering, Physics, Statistics, Data Science, or a related quantitative field
• Proficiency in Python and/or C++
• Experience analyzing, wrangling, and visualizing large-scale datasets
• Demonstrated analytical and statistical skills for validating quantitative models

Preferred

• Familiarity with autonomous vehicles, robotics, crash safety analysis, or human driving behavior modeling
• Experience working with rare-event modeling, anomaly detection, or highly imbalanced datasets in complex real-world domains (e.g., autonomous systems, robotics, experimental physics, crash safety, or healthcare)
• Solid foundation in machine learning and statistical evaluation fundamentals

We prefer

Familiarity with SQL

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.

Hourly Masters Pay

• $70
• $70 USD
• The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.

Hourly PhD Pay

• $85
• $85 USD