Machine Learning Engineer, Infrastructure and Automation

Helm.ai is an innovative company at the forefront of autonomous driving and robotics technology, having raised over $100M from major investors including Honda, Goodyear Ventures, and Mando. The company's unique Deep Teaching™ methodology enables unsupervised learning without human annotation or simulation, making it hardware-agnostic and highly efficient.

As a Machine Learning Engineer focusing on Infrastructure and Automation, you'll be integral to building the foundation of their autonomous vehicle technology. You'll work with research engineers to develop and optimize ML infrastructure that powers computer vision applications. The role combines deep technical expertise in machine learning with practical software engineering skills, requiring proficiency in Python and experience with major deep learning frameworks.

The position offers an opportunity to work on cutting-edge technology that will potentially impact hundreds of millions of vehicles. The company provides a competitive benefits package including health insurance, 401k, and flexible remote work options. The team culture emphasizes collaboration and innovation, bringing together diverse experiences from software industry and academia.

This role is perfect for someone who wants to make a significant impact in the autonomous vehicle industry while working with state-of-the-art machine learning technologies. The company's strong funding, partnerships with major automotive manufacturers, and focus on revolutionary unsupervised learning technology make it an exciting opportunity for career growth and technical innovation.