Senior AI & ML Research Engineer — Secure Mission Impact

CACI; Denver (CO); On-site; USD 82,000 - 172,000; Full time

Job summary

CACI seeks a Senior Data Scientist / AI ML Research Engineer to apply ML and statistics to RF-domain challenges, building scalable data processing and ML deployment pipelines in cloud environments. You will collaborate with cross-functional teams to advance national security missions.

The role requires a strong foundation in ML, mathematics, and statistics, plus hands-on experience with Python, SQL, Linux, and ML frameworks such as TensorFlow or PyTorch.

Qualifications

• Master's degree in a quantitative field with strong mathematical underpinnings.
• At least 5 years of experience developing ML models.
• Strong background in ML, mathematics and statistics.
• Comfortable using Linux operating systems and common utilities.
• US Citizenship with the ability to obtain/maintain the required security clearance (Top Secret).
• Active Top Secret clearance with SCI/Polygraph preferred.

Responsibilities

• Apply ML and statistics to develop algorithms for RF domain problems.
• Design and build data pipelines for large-scale data processing.
• Deploy ML solutions using cloud infrastructure and CI/CD pipelines.
• Develop governance for datasets and models with reproducible research practices.
• Collaborate across disciplines to solve challenging problems.

Skills

Machine learning

Statistics

Data pipelines

Linux

Security clearance

Python

SQL

Education

Master's degree in quantitative field

PhD in related field

Tools

TensorFlow

PyTorch

Spark

Airflow

scikit-learn

AWS

Azure

GCP

Job description

CACI seeks a Senior Data Scientist / AI ML Research Engineer to apply ML and statistics to RF-domain challenges, building scalable data processing and ML deployment pipelines in cloud environments. You will collaborate with cross-functional teams to advance national security missions.

The role requires a strong foundation in ML, mathematics, and statistics, plus hands-on experience with Python, SQL, Linux, and ML frameworks such as TensorFlow or PyTorch.