supervisor_account Intuition Machines
language Remote
stars Intermediate

Data Engineer at Intuition Machines


  • Experience working with data engineering services on one of the major cloud providers
  • Minimum of 3 years of experience in a data role that includes designing and building data stores, feature engineering, and using Kafka to build pipelines.
  • Significant experience in Python.
  • Experience with building and maintaining distributed data pipelines.
  • Exposure to machine learning fundamentals such as ETL, model training, and model inference as well as frameworks like PyTorch and Tensorflow is a definite plus.
  • Familiarity with Kubernetes or other container orchestration tools in a production setting.
  • Familiarity with one or more of the following: Kafka, Clickhouse, Honeycomb, Redis

Scope of Work

  • Design, build and maintain our core data platform.
  • Restructure and automate the existing pipeline to make data collection and processing scalable, robust, and reusable.
  • Establish best practices and develop pipelines that enable our ML engineers and researchers to quickly and effectively build and use datasets
  • Develop feature engineering pipelines.
  • Reduce time-to-deployment for our dashboards and ML models.
  • Work with some of the largest datasets and under performance constraints that are on par (and sometimes beyond) what you will find at the largest companies.


  • 100% Remote
  • Paid time off (2-4 weeks)
  • Paid sick leave
  • Freelancing, contractual base - automatically renewed every year
  • Yearly Regional gatherings

About Intuition Machines

We provide machine learning products and services at scale to some of the largest companies in the world. Focus on meta-learning and visual domain ML.
Intuition Machines has decades of software and ML expertise. We build and operate massively scalable systems to tackle some of today's hardest problems.


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