Intern, Machine Learning Engineer, Prediction

Key Skills

AI Robotic systems, AI technology, Autonomous vehicles, C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

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 Prediction Data is a team within the Prediction org with the mission of continuously and scalably delivering improvements to the multiple machine learning models within Prediction by maximally using data as the primary lever. The scope of the team involves things like

- various kinds of data mining (both in vehicle and in cloud) and automation there in, - semi-supervised way of finding similar examples from long-tail events, - best ways of monitoring and maximally ingesting information from both good & bad data to models during training & testing, - continual learning algorithms that can fit onto newly mined errors and specific data while not regressing on any previous datasets, etc. The ML models running on the AVs are going to experience various kinds of environments and scenarios as Cruise expands itself to new markets around the world. This is where Data is going to play a major role in helping achieve these goals in a safe, robust and cost-effective manner.

WHAT YOU'LL BE DOING:

• Identify safety critical modes and mine corresponding data for both training and testing
• Developing data-centric AI methods to train and improve ML models running on our AVs
• Work with partners like infrastructure, shipping teams, etc. to come up with practical solutions that can be easily integrated
• Demonstrate engineering excellence by improving automation and scalability of our systems.

WHAT YOU MUST HAVE:

• Experience with Python and corresponding packages for ML ( e.g. scikit-learn, Pandas, etc.) and DL (e.g. Pytorch, etc.)
• Experience with SQL
• Able to comprehend research papers and put that into use for our application
• Familiarity with training models on time series data

BONUS POINTS!

• knowledge of C and C++
• published research papers or blogs/articles/tutorials on prior ML work

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.