Staff AI/ML Engineer

Job Title: Staff AI/ML Engineer

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

The Opportunity:

This position is for a Staff AI/ML Engineer looking for new challenging problems. You should have experience working in research teams prototyping and developing AI/ML algorithms. You will support the development of AI/ML algorithms in a multitude of disciplines including object detection/classification, natural language processing, time series prediction/classification, reinforcement learning, and large language models.

Responsibilities:

• Implement machine learning algorithms as part of a small interdisciplinary team

• Analyze large multi-domain datasets including images, text, time series, and graph data

• Review and apply cutting-edge research publications

• Create technical documentation and user guides

• Understand training and deployment pipelines including AWS services

• Provide training and mentoring to team members

Qualifications:

Required:

• B.S. in machine learning, computer science, mathematics, or related field

• 8+ years of AI/ML development experience

• Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars

• Experience with supervised and unsupervised learning

• Experience with deep learning architectures

• Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)

• Active TS/SCI U.S. Government Security Clearance with Polygraph

Desired:

• M.S. or PhD in relevant technical field

• Experience leading interdisciplinary teams

• Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV

• Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)

• Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning Linux and AWS experience

• Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.

• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)

• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.

Pay Range :

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$108,400 - 227,500 USD

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.