Machine Learning Internship Opportunity
3 weeks ago
We are looking for a talented data science professional to join our team at Waymo and contribute to our mission of making mobility safer and more accessible.
In this role, you will play a key role in evaluating the driving quality of the Waymo Driver and proposing improvements to its software reliability.
You will work closely with our engineering teams to evaluate automatic clustering algorithms, improve importance sampling techniques, and build real-time monitoring of reliability issues.
Key Responsibilities- Evaluate and propose improvements to automatic clustering algorithms for reliability issues;
- Improve importance sampling techniques to maximize discoveries of novel reliability issues;
- Build real-time monitoring of reliability issues in scaled rider-only deployments, focusing on novel regression monitoring during ramp-up periods of new release candidates;
To be eligible for this internship, you must:
- Pursue a PhD in a quantitative field such as Statistics, Mathematics, Physics, Engineering, Economics, or Political Science;
- Have fluency in Python and basic knowledge of SQL;
- Familiarity with foundational statistical concepts, including hypothesis testing frameworks and Bayesian methods, as well as practical ML evaluation;
This is a hybrid onsite internship position offering a competitive hourly rate of $60.10 USD per hour. Interns are also eligible to participate in our generous benefits programs, subject to eligibility requirements.
Estimated annual salary: $124,160 (based on 20 hours/week, 52 weeks/year).
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