AI​/Machine Learning Engineer

Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high‑level decision makers that enhance our nation’s security.

The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.

The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI‑related matters, so must have exceptional analytical, problem‑solving and communication skills.

Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is a plus.

• Experience with standard machine learning frameworks, e.g. Pytorch, Tensor Flow
• 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

Five (5) years’ experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. 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 is required. Five additional years of machine learning experience with a relevant Bachelor’s degree may be substituted for a Master’s degree.

TS/SCI w/ Polygraph

U.S. Citizenship

For this role, our typical salary range starts at $210,000 and stretches up to $240,000. We are committed to securing top talent and are ready to go above and beyond to attract exceptional candidates.

• Health & Retirement: comprehensive Health Benefits package and 401K retirement plan.
• Education:
  
  company‑sponsored continuing education program to support degree and certification goals.
• Work/Life Balance: generous paid time off, 11 paid holidays, and flexible work options.
• Philanthropy: annual volunteering and contributions to community organizations.
• Corporate Facilities: collaborative office spaces, on‑site café, and weekly social events.
• Skill Bridge Program: matches veteran expertise with corporate opportunities.

Synergy ECP is committed to providing equal employment opportunities to all qualified individuals. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, sex, national origin, religion, age, disability, or any other status protected by applicable law. We welcome candidates from all backgrounds and are dedicated to maintaining a professional and respectful workplace where every employee can succeed.