ML) Engineer

GliaCell Technologies•Annapolis Junction, MD

3d•$170,000 - $230,000•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 within a large government contract. The role offers the opportunity to work with the latest technologies, engage in challenging and meaningful work, and collaborate with talented engineers in a supportive, family-like environment. GliaCell Technologies specializes in Software & System Engineering for Enterprise and Cyber Security solutions, utilizing Agile Software Development principles for quick turn-around and integration. Our expertise spans Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization, as well as Cyber Defense (CND), Cyber Network Exploitation (CNE), and Cyber Operations (CNO) solutions.

Requirements

An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED.
U.S. Citizenship
Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
Works well independently as well as on a team.
Strong communication skills.

Nice To Haves

Partial Telework (up to 16 hours per week) may be available for this position based on mission needs/available tasking at the discretion of leadership, after the individual has become fully acclimated to the duties and responsibilities of the position and has completed the necessary telework training.

Responsibilities

Ability to select 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