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GeoLogics Corporation Logo

Senior ML/Data Science Software Engineer

GeoLogics Corporation

$72 - $101
Jan 1, 2026
State College, PA, US
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Geologics is seeking a Senior ML/Data Science Software Engineer to design, develop, and test AI/ML, Java and Python code in a Linux, Agile, DevOps environment for their Satellite Ground Systems Team, which plays a pivotal role in ensuring communication, surveillance, and defense capabilities through cutting-edge satellite systems.

Requirements

  • Experience in object-oriented software design and development using Java or Python in a Linux environment.
  • Experience with unit testing tools (e.g., JUnit).
  • Experience in Machine Learning and Data Science.
  • Experience working with large datasets and performing data analysis.
  • Strong analytical skills and proactive problem-solving abilities, with a deep understanding of AI/ML technologies, cloud architecture, and enterprise software.
  • Experience with Git, Jenkins, Docker, Kubernetes.
  • Experience with cloud computing platform (e.g. AWS or Azure).

Responsibilities

  • Design, develop, and maintain advanced software applications for our Satellite Ground Systems.
  • Collaborate closely with systems engineers, hardware designers, and other software engineers to deliver reliable and high-performance software solutions.
  • Design, implement, and test AI, ML, Java and Python based applications and software components for satellite ground systems.
  • Work in parallel with legacy platform teams to eventually migrate workloads onto your pipelines.
  • Collaborate with cross-functional teams to define software requirements and specifications.
  • Work with previously written code and make modifications as necessary.
  • Ensure software performance, reliability, and scalability.

Other

  • Typically requires a Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 5 years of relevant software engineering experience
  • Active TS/SCI Clearance is required on day one.
  • Travel requirements not specified
  • Must be eligible to work in the US
  • Must be willing to work on a W2 hourly contract