Research Engineer, Motion Planning - Redwood City, CA or Remote, US

We help make autonomous technologies more efficient, safer, and accessible. 

Helm.ai builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles. 

You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:

• Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
• Develop our planner behavior and trajectories in collaboration with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms
• Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole

You have:

• Experience working with neural networks, PyTorch and/or Tensorflow
• Experience in one (or more) of:
• Path planning
• Generative simulation
• Intent prediction
• Fluency in Python and working knowledge of C++ programing
• A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
• Master’s or Ph.D. in a related field and/or 5+ years of …