Machine Learning Engineer

Overview

Machine Learning Engineer

Dulles, VA

TS/SCI with CI poly

GeoYeti is a division of Bcore, a full-spectrum intelligence company built on trust and teamwork whose core mission is to innovate within the national security space. GeoYeti focuses on advanced analytics, data science, development of the applications that support such work.  We seek a mid-level Machine Learning Engineer to support a client in Dulles, VA.  We support a broad range of IC and DoD clients, though a common theme across our portfolio is that our team members, regardless of their role, interact with the end users around the globe.

GeoYeti offers competitive pay and amazing benefits, to include a 6 percent company contribution into your 401k; 100 percent company paid premiums for medical (to include 100 percent of your medical deductible), dental, vision, life, and short- and long-term disabilities; and many others.

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.