Machine Learning Engineer - Remote

Overview

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.

In Short

• Collaborate with researchers on research operations.
• Characterize neural network quality and failure modes.
• Maintain awareness of current trends in research and technology.
• Coordinate with researchers on experiment status.
• Manage concurrent experiments and deadlines.
• Review experimental results and suggest improvements.
• Write technical reports for external parties.

Requirements

• Proficiency in Python.
• A sense of practical optimism.
• Ability to thrive in a fast-paced environment.
• Strong communication skills for complex concepts.
• Detail-oriented and introspective.
• Master’s or Ph.D. in a related field (a plus).
• Experience in reading research papers (a plus).
• Experience in computer vision and deep learning (a plus).

Benefits

• Competitive health insurance options.
• 401K plan management.
• Free lunch and fully-stocked kitchen.
• Monthly wellness stipend and office setup allowance.
• Opportunity to work on impactful problems.