Machine Learning Engineer at Helm.ai | Torre
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Machine Learning Engineer

You'll advance AI for autonomous driving, characterizing neural networks and shaping future iterations.
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Full-time

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Compensation
USD150k - 250k/year
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Remote (for Canada residents)
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Emma of Torre.ai
2 months ago

Requirements and responsibilities


You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will:Characterize neural network quality, failure modes, and edge cases based on research dataMaintain awareness of current trends in relevant areas of research and technologyCoordinate with researchers and accurately convey status of experimentsManage a large number of concurrent experiments and make accurate time estimates with respect to deadlinesReview experimental results and suggest theoretical or process improvements for future iterationsWrite technical reports indicating qualitative and quantitative results to external partiesYou have:A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!Proficiency in PythonProven ability to thrive in fast-paced environmentAbility to communicate complex technical concepts to colleagues and a variety of audienceIntrospection, thoughtfulness, and detail-orientationThe 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 fieldExperience reading research papers and implementing the techniques thereinComputer vision and deep learning 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 will be considered for employment without attention to
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