Full-Time Research Engineer

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.

Responsibilities

• Work collaboratively to improve our models and iterate on novel research directions, sometimes in just days.
• 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.

Qualifications

• 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
• 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

Compensation

The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience.

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

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