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: 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 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 You have: 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 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. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.