AI Scientist for Data-Driven Innovation

1 day ago

Mountain View, California, United States Nuro Full time
Autonomous Driving Innovator Wanted
Nuro is a pioneering robotics company that aims to transform everyday life through cutting-edge autonomous driving technology. Our vision is to create a future where humans and robots collaborate seamlessly, enhancing daily experiences. Join our journey as a Machine Learning Research Scientist and help shape the future of autonomous driving

We're looking for an experienced expert in machine learning research to join our Learned Behavior team. In this role, you will contribute to advancing machine learning techniques to accelerate software progress. You will work closely 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 crucial role in optimizing our data utilization, model performance, and decision-making processes for real-world autonomous driving applications.

Responsibilities
  • Design 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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