Research Engineer

Summary

Join Helm.ai, a company building AI software for autonomous driving and robotics, and help make autonomous technologies more efficient, safer, and accessible. We utilize a unique data and capital-efficient Deep Teaching™ methodology, surpassing traditional approaches with unsupervised learning software. You will collaborate to improve models and iterate on novel research directions, applying your skills to complex AI problems. The role involves extending Helm's algorithmic toolkit, maintaining deep learning tools, and deploying algorithms on vehicle platforms. We offer competitive compensation, benefits, and a remote-friendly culture. Helm.ai is an equal opportunity employer committed to diversity and inclusion.

Requirements

• A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
• Comfort operating in a fast-paced environment to deliver customer projects
• Introspection, thoughtfulness, and detail-orientation
• Experience working with neural networks, Tensorflow and/or PyTorch
• Fluency in Python and working knowledge of C/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 experience in a related field

Responsibilities

• Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
• 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
• Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms

Benefits

• Competitive health insurance options
• 401K plan management
• Remote-friendly and flexible team culture
• Free lunch and fully-stocked kitchen in our South Bay office
• Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
• The opportunity to work on one of the most interesting, impactful problems of the decade