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Home›Jobs›Nuro›Lead ML Research Scientist
Nuro

About Nuro

Revolutionizing delivery with autonomous vehicles

🏢 Tech, Hardware👥 501-1000 employees📅 Founded 2016📍 Old Mountain View, Mountain View, CA💰 $2.3b⭐ 3.7
B2BLogisticsRoboticsElectric VehiclesComputer VisionAutomationDelivery

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...

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Nuro

Lead ML Research Scientist

Nuro • Mountain View, California (HQ)

Posted 2w ago🏛️ On-SiteLeadAi research engineer📍 Mountain view
Apply Now →

Skills & Technologies

Machine learningReinforcement learningGenerative aiImitation learningFoundation modelsMulti-modal llmsOut-of-distribution detection

Overview

Nuro is seeking a Lead ML Research Scientist to work on advanced machine learning methods for self-driving technology. You'll tackle perception, prediction, and planning problems using cutting-edge techniques. This role requires 6+ years of experience in machine learning.

Job Description

Who you are

You have 6+ years of experience in machine learning, with a strong focus on advanced techniques such as reinforcement learning and generative models. Your background includes a Master's or Ph.D. in a relevant field, and you have a deep understanding of foundation models and multi-modal LLMs. You thrive in collaborative environments and enjoy solving complex problems that have real-world applications. Your expertise extends to out-of-distribution detection and imitation learning, making you well-equipped to contribute to state-of-the-art autonomy systems. You are passionate about deploying machine learning solutions that enhance safety and efficiency in autonomous vehicles.

Desirable

Experience with large-scale data pipelines and production-level machine learning systems is a plus. Familiarity with automotive-grade hardware and its integration with AI technologies will set you apart. You are a natural leader, capable of providing technical guidance and fostering a culture of innovation within your team. You understand the importance of psychological safety in the workplace and strive to create an inclusive environment for all team members.

What you'll do

In this role, you will collaborate closely with autonomy teams to address perception, prediction, and planning challenges in self-driving technology. You will apply and research novel machine learning techniques to enhance the capabilities of the Nuro Driver™. Your responsibilities will include building and leveraging effective ML data pipelines, ensuring that the solutions you develop are not only innovative but also practical for deployment on public roads. You will lead a large team, providing both technical and people leadership to drive projects forward. Your work will directly impact the scalability and safety of autonomous vehicles, contributing to Nuro's mission of making autonomy accessible to all.

What we offer

At Nuro, you will be part of a pioneering team dedicated to transforming the future of transportation. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a dynamic environment that encourages creativity and collaboration, allowing you to make a meaningful impact in the field of autonomous technology. Join us in our mission to empower a safer, richer, and more connected future through self-driving technology.

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