Artificial Intelligence Machine Learning Engineer 1 - C++/Marian/Java/AWS/PyTorch/Python

Captivation Software • Annapolis Junction, MD

3d

About The Position

Captivation Software is seeking a mid-level AI/ML engineer to build, train, fine-tune, and evaluate advanced language models. The engineer will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions. The role focuses on state-of-the-art machine learning techniques for natural language processing (NLP), alongside full-stack software development. Candidates must be U.S. citizens who currently hold a Top Secret/SCI U.S. Government security clearance with a favorable polygraph. This position is open to direct hires only; candidates from third-party staffing or recruiting firms will not be considered.

Requirements

• Currently hold a Top Secret/SCI U.S. Government security clearance with a favorable polygraph.
• Be a U.S. citizen.
• At least 2 years of applied machine learning experience on programs and contracts of similar scope, type, and complexity.
• Bachelor’s degree in advanced mathematics, computer science, or a related STEM discipline from an accredited college or university; alternatively, 3 additional years of machine learning experience on projects with similar machine learning processes may substitute for the degree.
• Strong proficiency with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Expertise in model training, evaluation, and deployment.
• Hands-on experience with AWS tools such as SageMaker, Lambda, EC2, and S3.
• Experience developing full-stack software applications using technologies such as JavaScript, Python, or Java.
• Solid understanding of data structures, algorithms, and system design.
• Extensive machine learning model development experience, including NLP.
• Experience with model evaluation, optimization, and performance monitoring.
• Proven software engineering experience and strong coding skills.
• Experience with model versioning and management using tools such as MLFlow or Git.
• Familiarity with containerization tools such as Kubernetes.

Nice To Haves

• Experience working in a government or defense-related environment.
• Experience with secure data handling and compliance requirements.
• Experience working with Large Language Models (LLMs).

Responsibilities

• Build, train, fine-tune, and evaluate advanced language models.
• Work across the model development lifecycle.
• Collaborate with cross-functional teams to deliver high-impact solutions.
• Develop and deploy machine learning models, including NLP models.
• Evaluate, optimize, and monitor model performance.
• Develop full-stack software applications.

Benefits

• Up to 20% 401(k) contribution; matching is not required, and contributions are vested from day one.
• $3,600 HSA contribution.
• Six weeks of paid time off.
• Company-paid employee medical, dental, vision, life, short-term disability, long-term disability, and AD&D insurance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level