
Revolutionizing delivery with autonomous vehicles
Nuro is an autonomous delivery vehicle manufacturer headquartered in Mountain View, CA, specializing in custom-built vehicles for transporting goods. With $2.3 billion raised in funding, including a recent Series D round, Nuro partners with major brands like Uber, Walmart, Chipotle, and Kroger to en...
Nuro offers company stock options, a free Caltrain pass, and commuter benefits. Employees enjoy flexible work-from-home opportunities and comprehensiv...
Nuro's culture is centered around innovation in robotics and autonomous technology. The company prioritizes safety and efficiency in its operations, a...

Nuro • Mountain View, California (HQ)
Nuro is seeking a Machine Learning Research Scientist to develop and scale state-of-the-art generative models for autonomous plan generation. You'll work with technologies such as reinforcement learning and large language models. This position requires expertise in generative modeling techniques.
You have a strong background in machine learning and generative modeling, with experience in developing and scaling state-of-the-art models. Your expertise includes diffusion architectures, flow-matching techniques, and energy-based models, which you have applied in real-world scenarios. You are familiar with leveraging large language models for reasoning and decision-making, and you understand the intricacies of multi-modality generation. Your knowledge of reinforcement learning allows you to optimize generative models effectively, enhancing interactive reasoning capabilities. You are a collaborative team player, eager to work across autonomy teams to develop holistic solutions to complex challenges. You possess a problem-solving mindset, able to evaluate issues and propose innovative ideas to drive progress.
Experience with reward modeling and learned verifiers using generative models is a plus. Familiarity with active learning and world modeling will further enhance your contributions to the team. You are also interested in exploring joint prediction and planning, as well as self-play techniques to advance generative modeling applications.
In this role, you will develop and scale generative models specifically designed for autonomous plan generation. You will build generative models that integrate with foundation models, utilizing large language models to enhance reasoning and decision-making processes. Your work will involve optimizing these models using reinforcement learning techniques to improve their interactive reasoning capabilities. You will explore various methodologies, including reward modeling and learned verifiers, to enhance the performance of generative models. Additionally, you will investigate joint prediction and planning strategies, as well as self-play approaches to refine model outputs. Collaboration will be key as you work with different autonomy teams to address top challenges in the field. You will evaluate your solutions by deploying models onto the NuroDriver, ensuring they meet the required standards and contribute to the company's mission of making autonomy accessible to all.
Nuro provides a dynamic work environment that fosters inclusion and psychological safety for all employees. You will have the opportunity to work on cutting-edge technology that aims to revolutionize the self-driving industry. The company values collaboration and encourages innovative thinking, allowing you to contribute meaningfully to the development of autonomous solutions. As part of the Nuro team, you will be at the forefront of advancements in AI and autonomy, making a significant impact on the future of transportation.
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