PhD Intern, Performance Analysis, Data Science (Fall)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

We're Cruise, a self-driving service designed for the cities we love.

We’re building the world’s most advanced, self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there's an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.

If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, join us.

In this role you will join the team developing solutions to a fundamental industry challenge: accurately measuring real-world AV performance on the roads of San Francisco. You’ll collaborate with the best minds in the AV industry as Cruise moves towards launching the first completely autonomous ride hailing service.

What you’ll be doing:

• Explore and develop methods to control for environmental covariates
• Measure the efficacy of causal inference (A/B) methods
• Build new features to better understand on-road performance
• Contribute to the Cruise’s roadmap through working closely with engineers, product managers and other stakeholders

What you must have:

• Pursuing PhD in a quantitative discipline (Statistics, Engineering, Machine Learning, Operations Research, Computer Science or other quantitative field)
• Academic/industry experience in applying statistics, machine learning, optimization, economics, and analytics to real world problems
• Practical command over SQL, Python, or similar analytical tools
• Excellent communication skills
• Extensive practical experience with exploratory data analysis, statistical analysis and testing, and model development

Bonus Points!

• Prior experience with ride sharing or similar industries
• Prior experience with causal inference methods
• SQL or python methods and experience with big data analysis
• Experience with productionizing algorithms

Why Cruise?

Intern program elements:

• Ownership of impactful project work
• Mentorship and training
• Networking events

Intern perks:

• Competitive compensation
• Company paid holidays
• Healthy meals and snacks provided for non-remote employees

We’re Integrated

• Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.

We’re Funded

• GM, Honda, Microsoft, T. Rowe Price & Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.

We’re Independent

• We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the edge of technology, but also define it.