Machine Learning Engineer - Infrastructure and Automation

Machine Learning Engineer, Infrastructure and Automation Remote, USWe 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 research engineers to build infrastructure to perform research operations and automate the training and optimization of ML models for real-time inference in computer vision applications. Specifically, you will : Write frameworks with flexible and modular components to quickly prototype trainings and implement new cutting-edge research ideasBuild robust and fault-tolerant ML pipelines for running inference on large image and video datasetsLeverage your knowledge of deep learning frameworks to optimize trainings in terms of GPU utilization, memory, speed, and accuracyDesign and implement APIs to automate the training and validation of a wide range of ML models for specialized use casesYou have : 5 years of experience in a directly related fieldExperience with TensorFlow / PyTorch, Jax, or related deep learning frameworkExperience building distributed, scalable software as a serviceProficiency in PythonProven ability to thrive in a fast-paced environmentAbility to communicate complex technical concepts to a variety of audiencesIntrospection, thoughtfulness, and detail-orientationThe following are a plus but not required : Master or Ph.D. in Math, Computer Science or a related fieldExperience in learning and implementing techniques from research papersWe 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.#J-18808-Ljbffr