Advanced Machine Learning Researcher for Autonomous Driving
22 hours ago
Nuro is a leader in autonomous driving technology, aiming to revolutionize everyday life through innovative robotics solutions. Founded in 2016, we have invested eight years in developing and commercializing cutting-edge AD technologies.
Our flagship product, the Nuro DriverTM, is a world-class autonomous driving system combining AD hardware with AI-first self-driving software designed to learn and improve through data. This groundbreaking technology enables us to operate one of the few driverless autonomous systems on public roads today.
Nuro has attracted significant investment from top-tier investors, including Fidelity, Bailie Gifford, T. Rowe Price, Google, and other prominent entities. We have also formed partnerships with reputable brands like Uber, FedEx, Domino's, Walmart, Kroger, and 7-Eleven.
Job Summary
We are seeking an experienced Machine Learning Research Scientist to join our Learned Behavior team. As a key member of the team, you will contribute to advancing machine learning techniques to accelerate software progress. You will work collaboratively with the team to develop and implement innovative strategies in active learning, data curation, and quality research to enhance the effectiveness and adaptability of our core behavior prediction, planning, foundation models, LLMs, and VLMs. Your contributions will play a vital role in optimizing our data utilization, model performance, and decision-making processes for real-world autonomous driving applications.
About the Job
- Develop and implement novel active learning methods to refine data selection, filtering, and mixing strategies for our core behavior prediction, planning, foundation models, LLMs, and VLMs.
- Lead initiatives to improve data quality, detect anomalies, and manage out-of-distribution examples to ensure robust model training and deployment.
- Collaborate with the autonomy team to build effective and efficient ML data pipelines and processes.
- Experiment quickly, develop and leverage state-of-the-art ML models and techniques, and publish blog posts and/or papers highlighting successes.
- Work with data collection and labeling teams to establish 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.
About You
You should possess deep expertise and prior experience in areas such as machine learning using deep networks and large volumes of data, either in industry or as part of a PhD. Additionally, you should have subject matter expertise and research in one or more of the following areas: machine learning, deep learning, robotics (bonus), and familiarity with the state of the art in ML for autonomous driving and data utilization (bonus). Strong problem-solving and programming skills in C++ and Python are required. A strong culture fit and good team player attitude are also essential. An M.Sc. or Ph.D. focusing on computer science, artificial intelligence, mathematics, or a closely related field is preferred. Demonstrated research publications in major conferences are a bonus.
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