AI​/ML Engineer

Overview

An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance.

Are you an Artificial Intelligence / Machine Learning Engineer who is ready for a new challenge that will launch your career to the next level?

At Glia Cell our slogan is “We make It happen”.

• We will immerse you in the latest technologies.
• We will develop and support your own personalized training program to continue your individual growth.
• We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers.

Culture isn’t something you need to talk about… if it just exists.

If this sounds interesting to you, then we’d like to have a discussion regarding your next adventure! If you want to be a drone, this isn’t the place for you.

We Make It Happen!

Glia Cell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks.

Glia Cell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and Dev Ops Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.

• Long term job security
• Competitive salaries & bonus opportunities
• Challenging work you are passionate about
• Ability to work with some amazingly talented people

Glia Cell is seeking an AI/ML Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract.

To be considered for this position you must have the following:

• Possess an active or rein-statable TS/SCI with Polygraph security clearance. (This position requires in-scope poly, within 7 years).
• U.S. Citizenship.
• 2+ years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required. 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.
• Experience with standard machine language frameworks, e.g. PyTorch, Tensor Flow.
• Work well independently as well as on a team.
• Strong communication skills.

• Seeking an AI/ML Engineer, responsible for building, training, fine-tuning, and evaluating advanced language models.
• The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development.
• This person will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions.

• Knowledge and experience of Language models is required
• Specific experience with Marian and multi-lingual model development
• Knowledge of Computation Linguistics is a plus
• Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning
• Strong Java, C, C++ programming experience
• Willingness to support occasional on-call duties is a plus
• Model Development & Training:
• Build, train, and fine-tune machine learning models, particularly language models
• Apply best practices in model training, tuning, and optimization.
• Design and implement solutions for model performance improvement.
• Evaluation & Testing:
• C…