GeoYeti

Machine Learning Engineer

Job Locations US-VA-Dulles
Job ID 2025-2655
Type
Regular Full-Time

Overview

Machine Learning Engineer

Dulles, VA

TS/SCI with CI poly

 

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support.

 

Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Machine Learning Engineer in Dulles, VA.

Responsibilities

This work requires data science support to a series of short term efforts applying machine learning to novel challenges. Successful applicants should be familiar with working with Python including relevant machine learning libraries. Because of the short term nature of projects and small team sizes, all team members should be effective communicators in understanding requirements, intended outcomes, and relaying status to customers. 

Qualifications

Required Qualifications:   

  • Active TS/SCI clearance required to start with CI poly required to start 
  • 3+ years experience with Python 
  • Proven experience implementing machine learning workflows to solve practical challenges.  
  • Experience evaluating similar models and producing metrics and supporting model selection for solving challenges.  
  • Experience interacting with hosted large language models (LLMs) programmatically. 
  • Experience managing code with version control systems such as git. 

Desired Qualifications:  

  • Experience with models based on satellite or aerial imagery

What you can expect from us

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

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