Staff AI/ML Engineer (TS/SCI) S}
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. We offer generous relocation benefits for eligible candidates. In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that’s of interest to you.
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
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
- Comprehensive medical/vision/dental insurance packages
- Company contributions to qualified HSA accounts
- 401k retirement plan with industry leading company contributions
- 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
- 13 paid holidays
- Upfront tuition assistance for approved degree programs
- Annual bonus program based on company and employee performance
- Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
- 4 weeks paid Parental Leave
- Employee assistance program (EAP)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
