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GliaCell Technologies

Mission-focused software engineering

Senior AI/ML Engineer

Full-TimeUpdated on 10/23/2026
$170k - $230k+ Discretionary bonus + Certification bonus + Sign-on bonus + Employee referral bonus
Senior
Bachelor's, Master's, PhD
Annapolis Junction, MD, USA
HybridPartial telework up to 16 hours per week may be available after acclimation and training, subject to mission needs and leadership discretion.
AI & Machine LearningApplied Machine Learning
No H1B Sponsorship
US Citizenship, US Top Secret Clearance Required

About the job

Requirements
  • U.S. citizenship is required.
  • Five years of experience in applied machine learning on programs and contracts of similar scope, type, and complexity are required.
  • A master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science, or deep learning is required. Five additional years of machine learning experience with a relevant bachelor's degree may substitute for a master's degree.
  • Experience with standard machine learning frameworks such as PyTorch and TensorFlow is required.
  • Ability to work independently and as part of a team is required.
  • Strong communication skills are required.
  • Ability to select appropriate data sets is required.
  • Ability to perform statistical analysis is required.
  • Ability to run machine learning algorithms and use the results to improve models is required.
  • Ability to train and retrain systems when needed is required.
  • Experience working with various machine learning libraries and packages is required.
  • Ability to run standard test and evaluation protocols is required.
  • Ability to provide system integration oversight is required.
  • Ability to oversee testing and evaluation of AI and machine learning algorithms through an iterative design process to meet verification and validation requirements is required.
  • Ability to research and implement a broad range of AI and machine learning algorithms and tools is required.
  • Ability to design or select appropriate data and knowledge representation methods is required.
  • Ability to recognize software architecture, data modeling, and data structures is required.
  • Ability to transform and convert data science prototypes into scalable solutions is required.
  • Ability to verify data and model output quality is required.
  • Ability to identify differences in data distribution that affect model performance is required.
  • An active or reinstatable TS/SCI with polygraph clearance is required; applicants who do not currently possess this level of clearance should not apply.
Responsibilities
  • Provide technical expertise to help sustain critical mission-related software and systems for a large government contract.
  • Select appropriate data sets, perform statistical analysis, run machine learning algorithms, and use results to improve models.
  • Train and retrain systems when needed.
  • Run standard test and evaluation protocols and provide system integration oversight.
  • Oversee testing and evaluation of AI and machine learning algorithms through an iterative design process to meet verification and validation requirements.
  • Research and implement a broad range of AI and machine learning algorithms and tools.
  • Design or select appropriate data and knowledge representation methods.
  • Transform and convert data science prototypes into scalable solutions.
  • Verify data and model output quality and identify data-distribution differences that affect model performance.

About the company

GliaCell Technologies is a technology contractor delivering software and systems engineering for national-security missions. Its teams work across software development, cloud and DevOps, data engineering, cybersecurity, and systems integration. The company recruits technical professionals for cleared work supporting government customers. The employer is best understood as a mission-focused government technology contractor, with engineers and technical specialists working on secure, complex systems where delivery practices, customer missions, and clearance requirements shape the work. That focus shapes its engineering disciplines, recruiting model, and customer environment.

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