Senior AI/ML Engineer — TS/SCI with Poly (Hybrid)

GliaCell Technologies; Maryland; Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Long term job security

Competitive salaries & bonus

Challenging work you are passionate

Ability to work with talented people

Work From Home Opportunities

Job summary

GliaCell Technologies is seeking a Senior AI/ML Engineer with an active TS/SCI clearance to support a U.S. Government customer from Annapolis Junction, MD, with partial telework available.

This full-time role emphasizes developing and sustaining mission-critical software and systems using AI/ML techniques. You will contribute to data-driven model design, training, and evaluation while collaborating with mission-focused teams and applying industry-standard ML libraries.

Qualifications

• U.S. Citizenship.
• Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity. A Master’s or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 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.
• Works well independently as well as on a team.
• Strong communication skills.

Responsibilities

• Design and implement ML/AI models for government-focused software and systems.
• Collaborate with cross-functional teams to integrate ML solutions into mission-critical environments.
• Evaluate and validate ML models, ensure verification and validation against requirements.

Job description

GliaCell Technologies is seeking a Senior AI/ML Engineer with an active TS/SCI clearance to support a U.S. Government customer from Annapolis Junction, MD, with partial telework available.

This full-time role emphasizes developing and sustaining mission-critical software and systems using AI/ML techniques. You will contribute to data-driven model design, training, and evaluation while collaborating with mission-focused teams and applying industry-standard ML libraries.