Machine Learning Data Scientist

In this role, you will help create the full data lifecycle that underpins our models: from designing what data we collect, through curation and quality monitoring, to running rigorous experiments that drive model improvements. You will work closely with other ML and Data Engineering teams to ensure our models are trained on the best possible data, reaching the best accuracy, and that we deeply understand when and why they don't perform as expected. Minimum Qualifications M.Sc. in Computer Science, Electrical Engineering, Computational Biology/Neuroscience, Mathematics, Statistics, or a related field 5+ years of industry experience in applied machine learning, data science, or a related field Strong hands-on experience with Python, PyTorch and SQL for large-scale data analysis and pipeline development Hands-on experience with the full ML experimentation cycle: problem definition, data collection, statistical analysis, and conclusion-driven iteration Proven ability to analyze model failures and translate findings into concrete improvements Strong analytical thinking and ability to independently define and drive research directions Excellent cross-functional communication skills - ability to work effectively with other ML and Data Engineers Preferred Qualifications Experience with applied speech, audio or signal processing ML systems Experience with data-efficient training strategies Experience with continual or online learning Familiarity with data quality frameworks, monitoring pipelines, and data validation at scale Strong statistical foundation - hypothesis testing, uncertainty quantification, evaluation metrics design Ph.D. n Computer Science, Electrical Engineering, Computational Biology/Neuroscience, Mathematics, Statistics, or a related field