Principal Engineer, Deep Learning
April 26
🏡 Remote – New York
Description
• Devise solutions and design neural networks for perception that run online on our autonomous vehicle • Provide technical and theoretical guidance to the deep learning team • Communicate and distill evaluations and results to the leadership • Help to design/improve our key deep learning tools: data, evaluation, compute • Lead cross functional efforts with respect to interfacing with the other autonomy consumers and upstream/downstream components
Requirements
• Bachelor/Master in CS or equivalent • Three years of engineering experience in deep learning oriented teams • Mastering modern DL and python-related frameworks: Pytorch/Tensor Flow, Numpy, Scikit • Familiar with respect to DL state of the art, practices and recent research • Able to design ML models from scratch: problem definition, data, model bring-up, debugging, evaluation and deployment • Excellent communication skills for leadership and stakeholders
Benefits
• Competitive Salary Package • Ownership of projects from day one, highly collaborative teams and a dynamic work environment • 100% Remote work set up, flexible work schedule (Flex time - off policy) • Annual career development stipend to support and encourage your career growth • Allowance for home office set up • Business traveling in our headquarters in Denver, Colorado (3-4 times/year) to stay connected with the team
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