Senior AI/ML Engineer (Partial Telework)

GliaCell Technologies•Annapolis Junction, MD

40d•$170,000 - $260,000•Hybrid

About The Position

GliaCell is seeking a Senior AI/ML Engineer to support a U.S. Government customer on one of our subcontracts. This full-time position involves providing technical expertise to sustain critical mission-related software and systems for a large government contract. The role offers the opportunity to work with the latest technologies, engage in mission-focused work, and be part of a team of brilliant engineers. GliaCell Technologies specializes in Software & System Engineering within Enterprise and Cyber Security solutions, utilizing Agile Software Development principles for quick turn-around and integration of industry-standard software stacks. Their Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. They also provide solutions in CND, CNE, and CNO, including Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Advanced Persistent Threat prevention.

Requirements

Possess an active or rein-statable TS/SCI with Polygraph security clearance. (This position requires in-scope poly, within 7 years).
U.S. Citizenship.
5+ years of experience and a Master's or Ph.D. degree in math, artificial intelligence, data science, computer science, or deep learning from an accredited college or university; or 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
Work well independently as well as on a team.
Strong communication skills.

Responsibilities

Select the appropriate data sets
Perform statistical analysis
Run machine learning algorithms
Use results to improve models
Train and retrain systems when needed
Experience in working with various ML libraries and packages
Run standard test and evaluation protocols
Provide system integration oversight
Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
Research and implement a broad range of AI and ML algorithms and tools
Design or Select appropriate data and knowledge representation methods
Recognize software architecture, data modelling, and data structures
Transform and convert data science prototypes into scalable solutions
Verify data and model output quality
Identify differences in data distribution that affect model performance