Senior Staff AI/ML Engineer
About The Position
The Senior Staff AI/ML Engineer will work on challenging problems as part of research teams that prototype and develop AI/ML algorithms. The role supports AI/ML development across disciplines including object detection and classification, natural language processing, time-series prediction and classification, reinforcement learning, and large language models. The engineer works within a small interdisciplinary team, analyzes large multi-domain datasets, applies current research, creates technical documentation, understands training and deployment pipelines including AWS services, and trains and mentors team members.
Requirements
- Active TS/SCI clearance.
- Bachelor’s degree in machine learning, computer science, mathematics, or a related field.
- At least 8 years of AI/ML development experience.
- Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, and Polars.
- Experience with supervised and unsupervised learning.
- Experience with deep learning architectures.
- Experience contributing to a team using version control, such as Git, GitLab, or Bitbucket.
Nice To Haves
- Master’s or Ph.D. in a relevant technical field.
- Experience leading interdisciplinary teams.
- Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, or OpenCV.
- Experience with GenAI Ops techniques (such as LLM-as-a-judge) and frameworks (such as LangFuse, MLFlow, or Arize Phoenix).
- Experience with LLMs, Transformers, YOLO, GANs, or reinforcement learning.
- Linux and AWS experience.
- Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, or CuDF.
- Experience in application deployment, virtualization, and containerization (such as Podman, Docker, Kubernetes, or Rancher).
- Familiarity with AWS cloud computing resources such as EC2, S3, and Lambda.
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.
- Learning resources and learning and development opportunities.
- Healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
