Research Engineer

🕒 June 17

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Helm.ai

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

🚗 Transport

🤝 B2B

🔥 Funding within the last year

💰 Corporate Round - Helm.ai on 2025-10

Artificial Intelligence • Transport • B2B

Helm. ai is an AI-first autonomy software company that builds vision-only, production-ready perception and autonomy stacks and generative-simulation foundation models for ADAS through Level 4 autonomous driving. The company provides on-vehicle real-time software (Helm. ai Vision, Helm. ai Driver) and offline training/validation tools (GenSim-2, VidGen-2, WorldGen-1) trained with its Deep Teaching™ unsupervised learning and generative AI to scale training, simulation, corner-case resolution, and deployment for production-bound projects. Helm. ai partners with global automakers such as Honda and Volkswagen to deliver scalable, vision-first autonomous driving solutions.

📋 Description

• Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale • Carefully 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 whole • Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms

🎯 Requirements

• A 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 projects • Introspection, thoughtfulness, and detail-orientation • Experience working with neural networks, Tensorflow and/or PyTorch • Fluency in Python and working knowledge of C/C++ programming • A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry • Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field

🏖️ Benefits

• Competitive health insurance options • 401K plan management • Free lunch and fully-stocked kitchen in our South Bay office • Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale • The opportunity to work on one of the most interesting, impactful problems of the decade

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