Research Engineer, Optimization

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November 20

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Helm.ai

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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.

11 - 50 employees

🤖 Artificial Intelligence

🚗 Transport

📋 Description

• Research, prototype and evaluate state of the art model optimization techniques and algorithms • Characterize neural network quality and performance based on research, experiment and performance data and profiling • Incorporate optimizations and model development best practices into existing ML development lifecycle and workflow • Define the technical vision and roadmap for DL model optimizations • Write technical reports indicating qualitative and quantitative results to colleagues and customers • Develop, deploy and optimize deep learning (DL) models on various GPU and AI accelerator chipsets/platforms

🎯 Requirements

• Proficiency in ML model development and optimization techniques (e.g. numerical optimization, quantization, pruning, architecture search and design), particularly on model deployment onto GPU’s or AI accelerators • Strong understanding of deep learning algorithms, software engineering and GPU-based computing • Experience working with neural networks in Tensorflow and/or PyTorch • Proven ability to thrive in fast-paced environment • Ability to communicate complex technical concepts to colleagues and a variety of audience • Introspection, thoughtfulness, and detail-orientation • Proficiency in Python • Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field (not required) • Computer vision experience (not required)

🏖️ 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