This role is at the intersection of robotics and machine learning, driving the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. You will lead efforts to ...
This role is at the intersection of robotics and machine learning, driving the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. You will lead efforts to ...
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This role is at the intersection of robotics and machine learning, driving the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. You will lead efforts to ...
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This role is at the intersection of robotics and machine learning, driving the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. You will lead efforts to ...
Working closely with our machine learning, robotics, and research teams, you'll ensure these models are robust, efficient, and ready for real-world challenges. Your work will directly advance Skild ...
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San Ramon, CA · On-site
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Internship Machine Learning Robotics information
What is the difference between Internship Machine Learning Robotics vs Internship Data Science?
| Aspect | Internship Machine Learning Robotics | Internship Data Science |
|---|---|---|
| Required Skills | Programming (Python, C++), Robotics, Machine Learning | Statistics, Programming (Python, R), Data Analysis |
| Work Environment | Robotics labs, manufacturing, research facilities | Data centers, corporate offices, research institutions |
| Industry Usage | Robotics companies, automation, AI hardware | Finance, healthcare, marketing, tech firms |
Internship Machine Learning Robotics focuses on developing AI algorithms for robotic systems, combining hardware and software skills. In contrast, Internship Data Science emphasizes analyzing data to extract insights, often in business or research settings. Both internships require programming skills, but their applications and environments differ significantly.

Job description
This role is at the intersection of robotics and machine learning, driving the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. You will lead efforts to generalize complex depot operations-such as exterior cleaning, sensor calibration, and maintenance checks-using advanced robotics. Key work involves leveraging foundation models, reinforcement learning, simulation, and integrating ML models in production at scale. You will interface closely with operations teams to translate real-world needs into robust, working solutions.
This role follows a hybrid work schedule and reports to a Director, Hardware and Sensors.
You will:
- Drive the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet
- Contribute to accomplishing complex depot operations using advanced robotics
- Focus on complex depot operations, such as charging, interior cleaning, vehicle inspection, and routine vehicle maintenance tasks
- Leverage foundation models, reinforcement learning, and simulation
- Integrate ML models in production at scale
- Interface closely with operations teams to translate real-world needs into robust, working solutions
You have:
- 3+ years of experience in training and evaluating large machine learning models
- 3+ years of experience with robotics, preferably industrial roboticsÂ
- Expertise in reinforcement learning and its applications to real-world problems
We prefer:
- A PhD in Machine Learning, Robotics, or a related technical field or equivalent experienceÂ
- Experience with applying machine learning techniques to large-scale industrial problems is a plus
- Background in collaborating with internal and external research partners on applying ML to large-scale industry scale problems
About Waymo
Sourced by ZipRecruiter
Industry
Internet and it
Company size
1,001 - 5,000 Employees
Headquarters location
Mountain View, CA, US
Year founded
2009