PhD Intern, Data Science

Cruise LLC
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Job Description

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.

The Data Science team is looking for an Intern, Data Science to extract key insights from our massive set of real-world and simulation data. Using these datasets you will help develop and validate predictive and causal models to identify trends and patterns. These models will account for natural variations in on-road exposures as well as incorporating fuzzing/noise injection into simulated data to approximate real-world driving. Using these models you will test statistical hypotheses by quantifying the uncertainties associated with model predictions. The ideal candidate is passionate about discovering new data insights and using innovative ML/statistical solutions to solve novel problems.

WHAT YOU'LL BE DOING:

  • Develop and validate machine learning (ML) models (including regression and tree based models)
  • Rigorously test statistical hypotheses (either with traditional frequentist null hypothesis based approaches and/or Bayesian approaches)
  • Query large amounts of structured data for training/test/validation datasets as well as to identify outliers/long tail events
  • Work cross-functionally between Systems Engineering and AV Engineering teams to combine mechanistic/first-principles and black box techniques

WHAT YOU MUST HAVE:

  • Experience with statistical hypothesis testing and machine learning model development and validation
  • Experience with coding in Python, especially Jupyter notebooks and common analytics packages (such as NumPy and SciPy)
  • Experience with SQL or pandas

BONUS POINTS!

  • Experience with neural networks and/or adversarial learning and/or reinforcement learning

The salary range for this position is $28.00 - $68.00/hour. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units, and benefits. These ranges are subject to change.

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.
  • We’re Safety Conscious
    • We integrate #staysafe, our top priority at Cruise, into our everyday work. Through our Safety Management System, every Cruiser is asked to do their part by reporting any potential issues or hazards they observe and making continuous improvements. You’ll be able to contribute to safety at Cruise, no matter your job function or title.

Company Info.

Cruise LLC

Cruise LLC is an American self-driving car company headquartered in San Francisco, California. Founded in 2013 by Kyle Vogt and Dan Kan, Cruise tests and develops autonomous car technology. The company is a largely-autonomous subsidiary of General Motors.

  • Industry
    Automotive,Autonomous technology
  • No. of Employees
    1,900
  • Location
    333 Brannan St, San Francisco, California 94107, USA
  • Website
  • Jobs Posted

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