Senior Frontend Engineer, Machine Learning Data Tools

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Who We Are

Nuro is a robotics start-up whose mission is to accelerate the benefits of robotics for everyday life. We have an elite team of entrepreneurs and engineers, designers, and scientists. We believe AI and robotics are at the cusp of transforming daily life and we are dedicated to building meaningful products with this technology. Join us and play a critical role in our mission.

About the Role

Machine Learning is at the heart of Nuro’s self-driving technology, whether it’s detecting a pedestrian about to cross the street or deciding the best trajectory to follow in a crowded neighborhood. However, even the most advanced ML models are only as good as the data they’re trained on.

The Ground Truth team drives performance improvements in Nuro’s self-driving technology through larger and better datasets. Our tools form a virtuous cycle that enables Nuro’s robots to learn from their onroad experiences. And we empower robotics teams to measure their performance with ground truth data and drive company-level decision making.

We are responsible for:

• Mining the most interesting examples from the vast sensor data and metadata generated every day by Nuro’s vehicles
• Developing manual and ML-assisted labeling workflows to annotate those examples with excellent quality and low cost

As a senior frontend engineer, you’ll build world-class ML tools that power applications across the company. You’ll partner with both technical and nontechnical customers to translate their needs into powerful, yet easy-to-use user interfaces.

We are hiring senior engineers for this position. Prior experience with ML is not required. This role is based in the Bay Area (Mountain View), with opportunities to work regularly from our San Francisco office if desired.

Responsibilities:

• Design and implement tools to search through large amounts of image and other data to uncover the most interesting training examples.
• Develop applications that empower operation specialists to visualize and annotate large volumes of lidar/camera data with superhuman speed and accuracy.
• Develop dashboards to monitor annotation status, cost, and quality.
• Collaborate with operations teams (both in-house and outsourced) to understand operation specialists’ needs and deliver easy-to-use products.
• Collaborate with ML engineers from mapping, perception, prediction, and planning teams to understand the onboard system architecture and how training data fits in.

Requirements

• You have 3+ years of software development experience using frontend technologies such as JavaScript/TypeScript, HTML, CSS, and React.
• You put a premium on clear and concise communication.
• You collaborate effectively with colleagues from a wide range of disciplines and backgrounds. You feel comfortable navigating situations with many stakeholders and requirements to consider.
• You hold a Bachelor’s or Master’s Degree in computer science, software engineering, a related field, or equivalent practical experience.