[Remote] Research Engineer

Note: The job is a remote job and is open to candidates in USA. Helm.ai is a company focused on solving complex AI problems, and they are seeking a Research Engineer to improve their models and explore novel research directions. The role involves applying and extending proprietary algorithms, maintaining tools for deep learning experiments, and collaborating with software and autonomous vehicle engineers to deploy algorithms.ResponsibilitiesApply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scaleCarefully 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 wholeWork closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platformsSkillsExperience working with neural networks, Tensorflow and/or PyTorchFluency in Python and working knowledge of C/C++ programmingA strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industryMaster's or Ph.D. in a related field and/or 5+ years of experience in a related fieldA 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 projectsIntrospection, thoughtfulness, and detail-orientationBenefitsCompetitive health insurance options401K plan managementFree 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 scaleCompany OverviewHelm.ai develops AI software for driver assistance systems, autonomous driving, and robotics. It was founded in 2016, and is headquartered in Redwood City, California, USA, with a workforce of 51-200 employees. Its website is https://helm.ai.Company H1B SponsorshipHelm.ai has a track record of offering H1B sponsorships, with 1 in 2026, 2 in 2025, 8 in 2024, 10 in 2023, 2 in 2022, 4 in 2020. Please note that this does not guarantee sponsorship for this specific role.