Staff AI/ML Engineer

Job Title: Staff AI/ML EngineerJob Category: ScienceTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: LocalAnticipated Posting End: 12/2/2026The 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 teamAnalyze large multi-domain datasets including images, text, time series, and graph dataReview and apply cutting-edge research publicationsCreate technical documentation and user guidesUnderstand training and deployment pipelines including AWS servicesProvide training and mentoring to team membersQualifications:Required: Active TS/SCI ClearanceB.S. in machine learning, computer science, mathematics, or related field8+ years of AI/ML development experienceProficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, PolarsExperience with supervised and unsupervised learningExperience with deep learning architecturesExperience contributing on a team using version control (e.g. git, GitLab, Bitbucket)Desired:M.S. or PhD in relevant technical fieldExperience leading interdisciplinary teamsExperience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCVExperience 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 LearningLinux and AWS experienceExperience 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.Since this position can be worked in more than one location, the range shown is the national average for the position.The proposed salary range for this position is: $98,500-$206,800CACI 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.