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 collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will:
Characterize neural network quality, failure modes, and edge cases based on research dataMaintain awareness of current trends in relevant areas of research and technologyCoordinate with researchers and accurately convey status of experimentsManage a large number of concurrent experiments and make accurate time estimates with respect to deadlinesReview experimental results and suggest theoretical or process improvements for future iterationsWrite technical reports indicating qualitative and quantitative results to external partiesYou have: A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!Proficiency in PythonProven ability to thrive in fast-paced environmentAbility to communicate complex technical concepts to colleagues and a variety of audienceIntrospection, thoughtfulness, and detail-orientationThe following are a plus, but not required: Master's or Ph.D. in a related field and/or 5+ years of experience in a directly related fieldExperience reading research papers and implementing the techniques thereinComputer vision and deep learning experienceThe 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.
We offer: Competitive health insurance optionsRemote-friendly and flexible team cultureFree lunch and fully-stocked kitchen in our South Bay officeAdditional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scaleThe opportunity to work on one of the most interesting, impactful problems of the decadeHelm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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