ML Data Engineer

April 19

Eight Sleep

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The sleep fitness company.

11 - 50

Description

• 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

Requirements

• 4+ 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

Benefits

• We’re a tight-knit, passionate team that’s working to impact people’s lives by improving the way they sleep • Opportunity to play a defining role in the future of Eight Sleep and the sleep fitness category • Leadership is committed to employees’ wellness and career development • You’ll get a better night sleep every night; all full-time employees receive the Pod • Flexible PTO • 100% employer contribution for medical/dental/vision insurance • Role ownership, and uncapped growth opportunities