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

In this role, you will be working as a member of the Behavior team and leveraging the cutting edge of machine learning research to solve challenging real-world robotics problems. This role will be focused on bringing advancements in the field of Multimodal Large Language Modeling to the AV domain (See our latest work here).  This role requires working with and developing generative LLMs in conjunction with a variety of input modalities, keeping up to date and experimenting with state-of-the-art models quickly and efficiently, collaborating with other teams to determine data and infrastructure support needs, and working with others to improve model optimization and inference speeds,  You will use your applied research skills to think through the creation and deployment of LLMs on autonomous vehicles while working talented researchers in the LLM field.  If you love solving challenging new problems and deploying solutions on robots used in the real world (like a car that can talk to you!), come join us!

About the Work

• Work on generative large language models for AV reasoning and planning
• Experiment quickly and fail fast while leveraging state-of-the-art models and techniques
• Research solutions to some of the most challenging problems in AVs and LLMs
• Collaborate with autonomy teams to understand top autonomy challenges and design roadmaps to solving these challenges using holistic solutions.
• Work with autonomy and infrastructure teams to build effective and efficient data, training, evaluation, and labeling pipelines
• Develop practical solutions and deploy them to the NuroDriver on-road!

About You

You have deep expertise and prior experience in some or many of the following areas:

• You have an M.Sc. or Ph.D. (preferable) in addition to 3+ years of experience 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: Machine Learning (required), Large Language Modeling (required), Multimodal LLMs (visual, audio, lidar, radar), Human Preference Feedback/Reward Modeling, Knowledge Distillation, Robotics
• You have strong problem-solving and programming skills in Python (required) and C++ (preferable) and utilize coding best practices as a part of your work
• Independent researcher able to push multi-faceted projects forward, collaborate across organizations, and deliver results in a timely manner
• Demonstrated research publications in major conferences (RSS, ICRA, CoRL, CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, etc.)
• Strong culture fit and good team player

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $167,200 and $250,800 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

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.