Safety Methodologies Internship/Co-op 2027

ProducePay; San Francisco (CA); On-site; USD 55,000 - 72,000; Full time

Benefits offered by this job

Daily snacks & meals

Team building events

Job summary

Waabi is seeking a curious and analytical Safety Methodologies Intern to support the development and implementation of the frameworks that underpin our driverless readiness decisions. This is a hands-on role in the autonomous trucking space, using our simulator and real-world data to quantitatively validate safety.

You will develop Python scripts, optimize data pipelines, explore crash datasets, and collaborate with the Safety team to integrate models into evaluation workflows.

Qualifications

• Pursuing a Bachelor's, Master's, or PhD in CS/Robotics/Math/Statistics.
• Experience identifying and handling missing values, anomalies, and outliers in large-scale datasets.
• Solid foundation in regression, classification, and hypothesis testing; surface patterns in data.
• AI-native with rapid experimentation, prototyping, and rigorous validation of results.
• Strong Python scripting with Pandas and NumPy.
• Able to communicate complex technical concepts clearly and accurately.
• Collaborative team player who thrives across functions.
• Genuinely excited about self-driving technology and solving hard problems.

Responsibilities

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

Skills

Data preprocessing

Regression

Classification

Hypothesis testing

AI tooling

Python

Pandas

NumPy

Communication

Teamwork

Motivation for AV

Education

Bachelor’s/Master’s/PhD in CS/Robotics/Math/Statistics

Tools

SQL

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

At the heart of our mission is an unwavering commitment to safety. We are seeking a curious and analytical Safety Methodologies Intern to support the development and implementation of the frameworks that underpin our driverless readiness decisions. This is a unique opportunity to gain hands-on experience in the autonomous vehicle industry, and you will be helping us quantitatively validate the safety of our autonomous trucking solution using our highly realistic simulator and real-world data. We are looking for a driven, inquisitive self-starter who will use their diverse background to dive headfirst into our data and tooling to generate actionable insights for the Safety team.

You will…

• Develop Python scripts and tools to calculate quantitative metrics and visualize complex data for collision assessment.
• Support optimization of data pipelines and automated assessment workflows used for safety validation.
• Explore large crash databases and apply multivariate modeling techniques to predict collision related metrics. Gain an in-depth understanding of the ins and outs of publicly available safety resources.
• Conduct A/B testing on collision models using metrics that you develop within the context of our broader safety framework.
• Collaborate with the safety team to integrate the models you develop into safety evaluation pipelines.

Qualifications:

• 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.
• Solid foundation in regression, classification, and hypothesis testing, with the ability to surface patterns in large-scale tabular data.
• AI-native - uses AI tooling to rapidly experiment, prototype, and harden code, and can rigorously validate the results.
• Strong Python scripting skills, including hands-on experience with data manipulation libraries (e.g., Pandas, NumPy).
• Able to communicate complex technical concepts clearly and accurately.
• Collaborative team player who works effectively across functional boundaries.
• Genuinely excited about self-driving technology and drawn to solving hard, unsolved problems.

Bonus/nice to have:

• 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.

The US hourly range for this role is: $40-$52 USD and the Canada hourly range for this role is: $41-$53 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s hourly ranges are determined based on several factors in accordance with the Company’s compensation practices. The hourly range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations.

Perks/Benefits:

Waabi provides a competitive benefits package that includes:

• Daily drinks, snacks and catered meals (when in office)
• Regularly scheduled team building activities and social events
• As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.