Staff AI/ML Engineer
CACI International•Philadelphia, PA
•$108,400 - $227,500•Onsite
About The Position
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.
Requirements
- 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
Nice To Haves
- 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.
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
Benefits
- flexible time off benefit
- robust learning resources
- competitive compensation
- competitive benefits
- learning and development opportunities
- comprehensive benefits
- healthcare
- wellness
- financial
- retirement
- family support
- continuing education
- time off benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
