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ML Data Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

4+ years of experience in data engineering, Proficiency in Python and its libraries, Experience with relevant AWS services, SQL knowledge.

Key responsabilities:

  • Monitor ML systems for performance and reliability
  • Develop ETL pipelines for model development
  • Manage and curate datasets for models
  • Build tools to monitor sensor data
Eight Sleep logo
Eight Sleep Consumer Services Scaleup https://www.eightsleep.com/
11 - 50 Employees
See more Eight Sleep offers

Job description

Eight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation. Our mission is to make people’s sleep count for more, using innovative technology, minimalistic design, and proven clinical science to personalize and improve each night for everybody—changing the way people sleep forever and for better.

Our temperature-regulated technology, the Pod, is an absolute game changer. It improves people's health and happiness by changing the way they sleep. The Pod was recognized two years in a row by TIME's “Best Inventions of the Year.” It is available for purchase in North America and internationally. Backed by leading Silicon Valley investors including Valor Equity Partners, Founders Fund, Khosla Ventures and Y Combinator, we’ve raised over $150 million (Series C) to date. We were recognized as one of Fast Company’s Most Innovative Companies in Consumer Electronics in 2019, 2022, and 2023.

We are looking to bring on an experienced Data Engineer to join Eight Sleep’s machine learning team. This role involves monitoring production ML systems, building tools and pipelines for data analysis, dataset curation, training and evaluation and developing systems for automated failure detection. 

How you’ll contribute

  • 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

What you need to succeed

  • 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

Why you’ll love Eight Sleep

  • 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 

At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Consumer Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Problem Solving
  • Teamwork

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