Machine Learning Engineer - Remote Tech Jobs

You will be part of the Machine Learning (ML) team and contribute to building robust, production-ready models. You will leverage our extensive speech dataset while experimenting with a multitude of deep-learning architectures to explore state-of-the-art speech analysis methods to solve a variety of classification and regression tasks. Working alongside our cloud engineering team, you will help deploy these models and ensure they stay performant in a wide range of customer-facing applications. Minimum Qualifications • M.S./Ph.D. in Computer Science or equivalent or B.S. with 5 years of experience in building production-grade machine learning models in industry and/or academic research settings • Strong programming skills in python with extensive experience with the scientific and deep-learning stack (numpy, pandas, numba, torch, tensorflow, jupyter) • Background in speech processing or audio classification • A proven track record of building end-to-end neural network models and presenting results to colleagues • Experience optimizing the compute performance of models for production • Ambitious team player with strong communication skills (oral and written) • Experience implementing and experimenting with cutting-edge ML techniques from the literature Kintsugi is on a mission to scale access to mental healthcare for all. We are developing novel voice biomarker software to detect signs of depression and anxiety from short clips of free form speech. Awarded multiple distinctions for AI technology and recently named one of Forbes' Top 50 AI companies to watch in 2022, Kintsugi helps to close mental health care gaps across risk-bearing health systems, ultimately saving time and lives.