{"id":194794,"url":"https://alion.io/job/caci-international-staff-aiml-engineer","title":"Staff AI/ML Engineer","company":{"id":58481,"name":"CACI International","domain":"caci.com","url":"https://alion.io/company/caci-international","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"D","score":47,"open_postings":430,"ghost_share":0.63,"stale_share":0.144,"repost_share":0.749,"time_to_fill_p50_days":48,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["King of Prussia, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":98500,"max":206800,"currency":"USD","period":"year","gross":null,"usd_annual":206800},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Bitbucket","optional":false},{"name":"CUDA","optional":false},{"name":"Docker","optional":false},{"name":"GitLab","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Numba","optional":false},{"name":"NumPy","optional":false},{"name":"OpenCV","optional":false},{"name":"Podman","optional":false},{"name":"Polars","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rancher","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Time Series","optional":false},{"name":"Transformers","optional":false},{"name":"YOLO","optional":false}],"status":"live","first_seen_at":"2026-05-12T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-30T04:17:12Z","board_verified":true,"closed_at":null,"days_open":171,"trust":{"level":"ghost","repost_count":4,"flags":["stale","repost"],"days_open":170},"description":"Job Title: Staff AI/ML EngineerJob Category: ScienceTime Type: Full timeMinimum Clearance Required to Start: TS/SCI with PolygraphEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: LocalAnticipated Posting End: 11/27/2026The Opportunity:\nThis 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.\nResponsibilities:\nImplement machine learning algorithms as part of a small interdisciplinary team \nAnalyze large multi-domain datasets including images, text, time series, and graph data \nReview and apply cutting-edge research publications \nCreate technical documentation and user guides \nUnderstand training and deployment pipelines including AWS services \nProvide training and mentoring to team members\n Qualifications:\nRequired:\nActive TS/SCI U.S. Government Security Clearance with adjudicated Polygraph\nB.S. in machine learning, computer science, mathematics, or related field \n8+ years of AI/ML development experience \nProficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars \nExperience with supervised and unsupervised learning \nExperience with deep learning architectures \nExperience contributing on a team using version control (e.g. git, GitLab, Bitbucket)\nDesired:\nM.S. or PhD in relevant technical field \nExperience leading interdisciplinary teams\nExperience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV \nExperience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix) \nExperience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning Linux and AWS experience \nExperience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc. \nExperience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)\nFamiliarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.\n-What You Can Expect:\nA culture of integrity.\nAt 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.\nAn environment of trust.\nCACI 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.\nA focus on continuous growth.\nTogether, 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.\nPay Range:\nThere 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.\nSince this position can be worked in more than one location, the range shown is the national average for the position.\nThe proposed salary range for this position is:\n$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.","description_format":"text","description_chars":4330,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":true,"languages":[]},"benefits":["Flexible time off"],"hiring_locations":[{"name":"United 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