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Description:
The ML Data Engineer will be responsible for monitoring production ML systems to ensure performance and reliability.
They will develop big data ETL pipelines for model development and evaluation.
The role involves managing and curating datasets for training machine learning models using the 10 PB of sensor data collected by Eight Sleep.
The engineer will also build tools to monitor incoming sensor data from Eight Sleepโs clinical studies.
Requirements:
1+ years of experience working in data engineering.
Proficiency in Python, including experience with coroutines, NumPy/SciPy, and Pandas.
Experience with AWS services relevant to machine learning and data engineering such as EC2, SageMaker, S3, and Kinesis, as well as SQL.
Strong problem-solving skills, effective communication skills, and the ability to work well in a team environment.
Benefits:
This is a full-time 6-month contract position eligible for remote work from the US, CA, or LATAM.
Opportunity to work with cutting-edge technology in the sleep fitness industry.
Joining a team focused on innovation and improving people's sleep quality.
Equal employment opportunity regardless of various factors such as race, religion, gender identity, or Veteran status.