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2 months ago
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Requirements and responsibilities
You will focus on research and development related to the optimization of ML models on GPU’s or AI accelerators. You will use your judgment in complex scenarios and apply optimization techniques to a wide variety of technical problems. Specifically, you will:Research, prototype and evaluate state of the art model optimization techniques and algorithmsCharacterize neural network quality and performance based on research, experiment and performance data and profilingIncorporate optimizations and model development best practices into existing ML development lifecycle and workflow.Define the technical vision and roadmap for DL model optimizationsWrite technical reports indicating qualitative and quantitative results to colleagues and customersDevelop, deploy and optimize deep learning (DL) models on various GPU and AI accelerator chipsets/platformsYou have:Proficiency in ML model development and optimization techniques (e.g. numerical optimization, quantization, sparsity, pruning, architecture search and design), particularly on model deployment onto GPU’s or AI acceleratorsStrong understanding of deep learning algorithms, software engineering and GPU-based computingExperience working with neural networks in Tensorflow and/or PyTorchProven ability to thrive in fast-paced environmentAbility to communicate complex technical concepts to colleagues and a variety of audienceIntrospection, thoughtfulness, and detail-orientationProficiency in PythonThe following are a plus, but not required:Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related fieldComputer vision experienceWe offer:Competitive health insurance options401K plan managementFree lunch and fully-stocked kitchen in our South Bay officeAdditional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scaleThe opportunity to work on one of the most interesting, impactful problems of the decadeHelm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants
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