August 22
• Monitor production machine learning systems to ensure performance and reliability. • Develop big data ETL pipelines for model development and evaluation. • Manage and curate datasets for training machine learning models using the 10 PB of sensor data we have collected & built tools to monitor incoming sensor data from Eight Sleep’s clinical studies.
• 1+ years of experience working in data engineering. • Demonstrated proficiency in Python, including experience with coroutines, NumPy/SciPy, Pandas. • Experience with AWS services relevant to machine learning and data engineering, including EC2, SageMaker, S3, and Kinesis as well as SQL. • Problem-solving, communication skills and the ability to work effectively in a team environment.
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