
About Nuro
Revolutionizing delivery with autonomous vehicles
Key Highlights
- Headquartered in Mountain View, CA with 501-1000 employees
- $2.3 billion raised in funding across multiple rounds
- Partners with Uber, Walmart, Chipotle, and Kroger
- Specializes in autonomous delivery vehicles for goods, not passengers
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...
🎁 Benefits
Nuro offers company stock options, a free Caltrain pass, and commuter benefits. Employees enjoy flexible work-from-home opportunities and comprehensiv...
🌟 Culture
Nuro's culture is centered around innovation in robotics and autonomous technology. The company prioritizes safety and efficiency in its operations, a...

Machine Learning Research Scientist • Senior
Nuro • Mountain View - On-Site
Skills & Technologies
Overview
Nuro is seeking a Senior Machine Learning Research Scientist to work on behavior planning and prediction systems. You'll leverage advanced machine learning techniques to solve real-world challenges in autonomous driving. This role requires expertise in machine learning and related methodologies.
Job Description
Who you are
You have a strong background in machine learning, particularly in behavior planning and prediction systems. With experience in advanced techniques such as reinforcement learning and self-supervised learning, you are adept at tackling complex challenges in the field of autonomous driving. You understand the importance of robust model development and are passionate about applying your skills to real-world applications. You thrive in collaborative environments, working closely with software teams to identify pain points and develop innovative solutions. Your analytical mindset allows you to explore novel methods for out-of-distribution detection and trajectory prediction, ensuring the safety and efficiency of autonomous systems. You are committed to continuous learning and improvement, always seeking to enhance your understanding of machine learning methodologies.
Desirable
Experience with end-to-end driving systems and a solid understanding of motion planning techniques would be advantageous. Familiarity with the automotive industry and its challenges can further enhance your contributions to the team. You are open to exploring new ideas and methodologies, and you enjoy working in a fast-paced, innovative environment where your contributions can make a significant impact.
What you'll do
In this role, you will collaborate with various software vertical teams to understand their challenges and explore advanced machine learning methods to address them. You will work on scalable systems that utilize machine learning for planning and prediction, focusing on generating safe and feasible outcomes for autonomous vehicles. Your responsibilities will include developing and implementing algorithms that leverage self-supervised learning to create robust representations, as well as adjusting reinforcement learning techniques for effective motion planning. You will investigate the robustness of models to mitigate uncertainties and contribute to building comprehensive driving systems that can operate in diverse environments. Your work will directly influence the development of Nuro's autonomous technology, making it more accessible and reliable for various applications.
What we offer
Nuro provides a competitive salary, with the potential for an annual performance bonus and equity options. You will be part of a dynamic team dedicated to advancing self-driving technology, with opportunities for professional growth and development. The company culture emphasizes collaboration, innovation, and a commitment to making autonomy accessible to all. You will have access to a comprehensive benefits package that supports your well-being and work-life balance. Join us in shaping the future of transportation and making a meaningful impact in the world of autonomous vehicles.
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