Senior Machine Learning Engineer

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

Required:

• Active TS/SCI U.S. Government Security Clearance with adjudicated Polygraph
• 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, Num Py, Polars
• Experience with supervised and unsupervised learning
• Experience with deep learning architectures
• Experience contributing on a team using version control (e.g. git, Git Lab, Bitbucket)
• M.S. or PhD in relevant technical field
• Experience leading interdisciplinary teams
• Experience with MCP, Microsoft Agent Framework, Hugging Face, Lang Chain, OpenCV
• Experience with GenAI Ops techniques (e.g. LLM‑as‑a‑judge) and frameworks (e.g. Lang Fuse, 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.