Machine Learning Intern, Nuro
Behavior Planning
Expected monthly pay is between $11,500 and $14,000
More information about location
4 days a week in office (Mountain View, CA)
Autonomous delivery vehicle manufacturer
Be an early applicant
Autonomous delivery vehicle manufacturer
501-1000 employees
Be an early applicant
Expected monthly pay is between $11,500 and $14,000
More information about location
4 days a week in office (Mountain View, CA)
501-1000 employees
Company mission
To better everyday life through robotics.
Role
Who you are
- If you love solving challenging new problems by leading research and seeing it through to deployment onto real robots come join us!
- Internship candidates that are able to join for >=6 months are strongly preferred
- Undergraduate or Masters Students:
- Currently pursuing a B.S. or M.S. in Computer Science, Robotics, Mathematics, or a related engineering field
- Excellent programming proficiency in Python and a strong understanding of object-oriented programming. Solid grasp of fundamental computer science concepts, including data structures, algorithms, and software design. Experience with C++ is a plus
- Strong foundational knowledge of machine learning concepts (e.g., supervised/unsupervised learning, model evaluation). Hands-on experience with at least one major deep learning framework (PyTorch, TensorFlow, or JAX)
- Coursework or project experience in one or more of the following is highly desirable: Deep Learning, Computer Vision, Robotics, or Reinforcement Learning
- Demonstrated knowledge in ML systems and infrastructure, with experience in training optimization, compiler acceleration, quantization, and efficient deployment of high-performance models is a strong plus
- Demonstrated ability to build projects, shown through coursework, personal projects (e.g., on GitHub), or a previous internship
- A collaborative, curious, and proactive mindset paired with strong technical communication skills. Eager to learn and contribute as a team player
- Ph.D. Students:
- Currently pursuing a Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a closely related field
- A clear research focus in one or more of the following areas: generative and/or diffusion modeling, sequential decision making, Imitation Learning, Deep Reinforcement Learning, large models (pre-training/fine-tuning), or machine learning for robotics
- A deep understanding of the theoretical underpinnings of modern machine learning
- Strong programming skills in Python for rapid prototyping and experimentation with complex ML models. Experience with C++ is a plus
- A track record of research, with publications in top-tier conferences (e.g., NeurIPS, ICLR, ICML, CVPR, RSS, CoRL)
- Intellectual curiosity, attention to detail, persistence, and the ability to work both independently and collaboratively within a research-oriented team paired with strong technical communication skills
What the job involves
- In this role, you will be a key member of the behavior team focused on solving the hardest autonomy problems using advanced machine learning techniques
- Here you will explore novel and advanced machine learning methods to solve practical real-world challenging problems in autonomous driving
- This work may include using imitation and reinforcement learning to reason about high level decisions and generate executable motion plans; develop robust models to handle challenging interactive situations; reason about the intentions of other road users and how their behaviors influence safe and correct driving decisions; build end-to-end driving systems; work with complex real world datasets; and more
- Work on scalable machine learning based planning and prediction systems to generate safe and feasible trajectories for autonomous driving
- Collaborate closely within the learned behavior team analyze autonomy system performance, understand data quality and feature representations, and modify machine learning models to develop holistic solutions to top autonomy challenges,
- Implement and train machine learning models using established frameworks like PyTorch. Test and deploy your work on real-world vehicles
- Conduct experiments, analyze results, and present findings to the team
- (PhDs) Research generative sequence modeling and sequential decision making. Research backgrounds we are looking for but not limited to are:
- Scalable Imitation learning and reinforcement learning
- Marginal, conditional, and joint prediction modeling for interactive agents
- Large generative, diffusion, and VLA models
- Learning from human preference feedback and expert demonstrations, reward modeling and optimization
Our take
Nuro offers custom-built autonomous vehicles for the delivery of physical goods, rather than people. Its vehicles have a distinctive, futuristic, design that has not only made the vehicles noticeable from a marketing point of view, but, has also made its vehicles stand out to other road users, improving safety.
Nuro is an exciting addition to the autonomous vehicle landscape. Without a passenger inside the vehicle, it has been able to sidestep some of the safety issues that have plagued other autonomous vehicle brands. Additionally, the company has landed several high-profile partners, including Uber, Walmart, Chipotle, and Kroger.
With home deliveries at an all-time high, many companies are looking for ways to get goods to customers’ homes as fast as possible. Low-cost, efficient services such as Nuro's offering are becoming increasingly attractive. The company is turning its focus to commercializing and scaling the production of its third-generation vehicle at a new facility in Southern Nevada as it hopes to expand its services across the US.
Steph
Company Specialist at Welcome to the Jungle
Insights
-29% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Apr 2025
$203m
SERIES E
Nov 2021
$600m
SERIES D
Total funding: $2.3bn
Company benefits
- Free Caltrain pass and commuter benefits
- Company stock options
- Work from home opportunities
- Health insurance
Company HQ
Mountain View, CA
Leadership
Jiajun Zhu
(CEO)After an MA in Computer Science at the University of Virginia, Jiajun worked as Principal Software Engineer at Google for over 8 years. He left this role in August 2016 to co-found Nuro with Dave.
Dave Ferguson
(President)Experienced Robotics Engineer with stints at Google (Computer Vision and Machine Learning Lead) and Intel (Senior Research Scientist). PhD in Robotics from Carnegie Mellon University.
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