Research Engineer

Job not on LinkedIn

May 22

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Logo of Helm.ai

Helm.ai

Artificial Intelligence • Transport • Automotive

Helm. ai is an innovative technology company providing full-stack artificial intelligence solutions for autonomous driving systems, ranging from Advanced Driver Assistance Systems (ADAS) to Level 4 autonomous driving. The company develops AI-based simulation and validation tools, such as Gensim-1 and Vidgen-2, to aid in the creation and testing of autonomous vehicles. Helm. ai offers production-grade perception software utilizing deep neural networks for path prediction and human-like driving maneuvers. Their technology aims to reduce development costs and accelerate market readiness for automakers, with solutions adaptable to various geographies and driving conditions.

📋 Description

• You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. • 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++ programing • 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 • Remote-friendly and flexible team culture • 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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