- Work on scalable machine learning based planning and prediction systems to generate safe and feasible trajectories for autonomous driving.
- 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.
- Large generative models and diffusion models.
- Learning from human preference feedback and expert demonstrations, Reward modeling and optimization.
- Nice to have: Embodied AI for robotics, Causal reasoning, Model interpretability and explainability, Joint prediction and planning.
- Mitigate uncertainties accumulated through interconnected autonomy components.
- Collaborate across autonomy teams while developing holistic solutions to top autonomy challenges. Understand issues, propose ideas, prioritize work and develop solutions to solve them.
- Derive practical solutions and deploy them on the NuroBot.
- You have an M.Sc. plus 2-3 years of relevant work experience or a Ph.D. (preferable) focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field
- You have subject matter expertise and research in one or more of the following areas: sequential decision making, Imitation Learning, Deep Reinforcement Learning, generative modeling, large models (pretraining/finetuning), machine learning for robotics.
- You have strong problem solving and programming skills in Python and/or C++
- Strong culture fit and good team player
- Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL etc.)
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Machine Learning Research Scientist, Behavior ML - Mountain View, United States - Nuro
Description
Who We Are
Nuro exists to better everyday life through robotics. Founded in 2016, Nuro is a leading autonomous technology company with vehicles on road today in California and Texas. The company's core technology is the Nuro Driver, an integrated autonomous driving system consisting of state-of-the-art, AI-first software and custom-built sense and compute hardware. The first commercial application of the Nuro Driver is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.
About the Role
The mandate of the learned behavior team is to use advanced machine learning techniques to accelerate software progress. In this role, you will be a key member of the behavior team focused on solving the hardest autonomy problems. 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; and more. If you love solving challenging new problems by leading research and seeing it through to deployment onto real robots come join us
About the Work
About You
You have deep expertise and prior experience in some or many of the following areas:
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $167,200 and $250,800/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
