Senior Staff Machine Learning Engineer leading technical architecture for GEICO's AI Agent Platform. Driving innovation and enhancing productivity for internal associates and customers.
About the role
- AI ML Engineer at global networking leader, shaping ML strategy and building high-performance systems. Innovating with AI technology to enhance network management and develop flagship products.
Responsibilities
- Define and drive the technical vision for ML solutions across products and platforms
- Own the end-to-end software development lifecycle — from design and code reviews through to deployment and operations
- Architect high-performance, scalable microservices, including synchronous and asynchronous web services
- Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing
- Mentor engineers, set technical direction, and foster a strong team culture
- Champion engineering excellence, system resilience, and continuous operational improvement
Requirements
- Degree in Computer Science, Mathematics, or a related field
- 5–10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)
- 5–10 years of Python expertise, including advanced features and libraries
- Strong experience designing RESTful APIs (e.g., FastAPI)
- Proficiency with Docker, Kubernetes, and CI/CD pipelines
- 3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)
- Proven experience as a tech lead or engineering mentor
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Training & Development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Staff Machine Learning Engineer developing the next generation of AI Agent OS and SDKs for GEICO. Key responsibilities include architecting scalable systems and implementing observability frameworks.
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