Data Scientist​/Senior AI Machine Learning Research Engineer

Data Scientist / Senior AI Machine Learning Research Engineer

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We have an exciting new opportunity for a Senior AI and Machine Learning Research Engineer. Apply machine learning and statistics to develop algorithms to solve challenging problems in signal processing and computer networking domains, leveraging a strong foundation in machine learning, data science, and signal processing to solve complex challenges in the RF domain.

• Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries.
• Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing.
• Hands‑on experience with cloud‑based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment.
• Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., Tensor Flow, PyTorch, scikit‑learn).
• Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles.

• Master’s degree in a quantitative field with strong mathematical underpinnings and at least 4 years’ experience.
• Experience developing models.
• Strong background in machine learning, mathematics, and statistics.
• Comfortable using Linux operating systems and commonly used Linux utilities.
• Must be a US citizen with the ability to obtain, maintain, and/or transfer the required security clearance as dictated by the contract.
• Must have active Top Secret clearance.

• Ph.D. in computer science, computer engineering, machine learning, statistics, applied mathematics, or physics.
• Experience applying machine learning to signal processing and/or other time‑series data analysis applications.
• Knowledge of or experience with information theory, probability theory, and parametric and non‑parametric statistical tests.
• Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance.
• Active Top Secret/SCI clearance preferred.

The proposed salary range for this position is $98,500 - $206,800. Compensation is influenced by factors such as geographic location, federal contract categories, prior experience, skills, education, and certifications. We offer competitive benefits including healthcare, wellness, financial, retirement, family support, continuing education, and time‑off options.

We offer comprehensive benefits such as healthcare, wellness, financial, retirement, family support, continuing education, and time-off. Our flexible schedule and learning resources support career growth.

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.