Safety Methodologies Internship/Co-op 2027

Waabi • Pittsburgh, PA

7d

About The Position

Waabi is seeking a curious and analytical Safety Methodologies Intern to support the development and implementation of frameworks used to make driverless-readiness decisions. The intern will help quantitatively validate the safety of Waabi’s autonomous trucking solution using its simulator and real-world data, generating actionable insights for the Safety team. The internship is expected to start in May or June 2027 and continue full-time, 40 hours per week, through August or September 2027. Applicants must include their current academic transcripts with their resume.

Requirements

• Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mathematics, Statistics, or a related field.
• Experience identifying and handling missing values, anomalies, and outliers in large-scale, real-world datasets.
• A solid foundation in regression, classification, and hypothesis testing, with the ability to identify patterns in large-scale tabular data.
• Uses AI tools to experiment, prototype, and harden code, and can rigorously validate results.
• Strong Python scripting skills, including hands-on experience with data manipulation libraries such as Pandas and NumPy.
• Ability to communicate complex technical concepts clearly and accurately.
• Collaborative team player who works effectively across functional boundaries.
• Genuine enthusiasm for self-driving technology and solving difficult, unsolved problems.

Nice To Haves

• Previous internship or academic experience in robotics, automotive, or data science.
• Experience with SQL or other data mining tools.
• Experience creating data visualizations or dashboards.

Responsibilities

• Develop Python scripts and tools to calculate quantitative metrics and visualize complex data for collision assessment.
• Support the optimization of data pipelines and automated assessment workflows used for safety validation.
• Explore large crash databases and use multivariate modeling techniques to predict collision-related metrics.
• Learn and use publicly available safety resources.
• Conduct A/B testing on collision models using metrics developed within the broader safety framework.
• Collaborate with the Safety team to integrate developed models into safety evaluation pipelines.

Benefits

• Competitive benefits package.
• Daily drinks, snacks, and catered meals when in the office.
• Regularly scheduled team-building activities and social events.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed