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

Applicant Location Requirements

Job is eligible for remote work.

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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