Senior Machine Learning Research Scientist, Nuro
Active/Human Feedback Learning
$167.2-250.8k
This position is also eligible for an annual performance bonus and equity
Office located in Mountain View, CA
Autonomous delivery vehicle manufacturer
Open for applications
Autonomous delivery vehicle manufacturer
501-1000 employees
Open for applications
$167.2-250.8k
This position is also eligible for an annual performance bonus and equity
Office located in Mountain View, CA
501-1000 employees
Company mission
To better everyday life through robotics.
Role
Who you are
- You have 3+ years of experience working with machine learning using deep networks and large volumes of data
- You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Robotics (bonus), and have some familiarity with the state of the art in ML for autonomous driving and data utilization (bonus)
- You have an expertise in at least one of the following domains:
- Active learning, curriculum learning
- On-policy / off-policy data collection in robotics: DAgger, Human preference, etc
- Deep retrieval: DPR, RAG, contrastive learning, etc
- Model uncertainty, density estimation, adversarial robustness
- You have strong problem solving and programming skills in C++ and Python
- Strong culture fit and good team player
- You have an M.Sc. or Ph.D. focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field
- Demonstrated research publications in any of the major conferences is a bonus (RSS, ICRA, CoRL, CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, etc.)
What the job involves
- This role, you will be working as a member of the Learned Behavior team and leveraging the cutting edge of machine learning research to solve practical, real-world, challenging problems
- In this role, you will focus on developing and implementing innovative strategies in active learning, deep retrieval, or human-in-the-loop learning to enhance the effectiveness and adaptability of our core behavior ML models for prediction and planning
- Your contributions will play a crucial role in optimizing our data utilization, model performance, and decision-making processes for real-world autonomous driving applications
- Develop and implement innovative active learning strategies to select and utilize training data, enhancing the effectiveness, robustness, and adaptability of our core behavior ML models in prediction and planning
- Explore and apply advanced deep retrieval techniques to construct and maintain versatile datasets and knowledge bases, supporting a wide range of applications from model training and evaluation to online decision-making in our autonomous driving systems
- Design and execute human-in-the-loop learning approaches, including on-policy and off-policy data collection, to refine and improve the decision-making capabilities of our autonomous vehicles
- Work as a part of an autonomy team to build effective and efficient ML data pipelines and processes
- Experiment quickly and fail fast while leveraging state-of-the-art ML models and techniques
- Work with data collection and labeling teams to set a high quality bar for incoming data
- Develop practical ML solutions, deploy models to the NuroDriver, and witness their real-world impact on the road
Otta's take
Xav Kearney
CTO of Otta
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.
Insights
Company
Funding (last 2 of 5 rounds)
Nov 2021
$600m
SERIES D
Nov 2020
$500m
SERIES C
Total funding: $2.1bn
Company benefits
- Free Caltrain pass and commuter benefits
- Company stock options
- Work from home opportunities
- Health insurance
Company values
- Earn it - We seek and expect excellence and are not afraid of hard work
- 1% better everyday - We continuously focus on improving both as individuals and as a company
- Find a way - We embrace uncertainty and thrive on solving the hardest problems
- Act now - We trust our team's judgment—everyone is a problem solver
- One team - Nuro only succeeds if we are all working toward a common goal
Company HQ
Mountain View, CA
Founders
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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