Remote ML Data Engineer

Summary

Join Eight Sleep's machine learning team as a Data Engineer to monitor production ML systems, build tools and pipelines for data analysis, dataset curation, training and evaluation, and develop systems for automated failure detection.

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

Responsibilities

• 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

Benefits

• Flexible PTO
• 100% employer contribution for medical/dental/vision insurance