Build and deploy machine learning models that automate real-time physical security decisions across all AWS regions
Locations (4)
Arlington, Virginia, United States
New York, New York, United States
Annapolis Junction, Maryland, United States
Herndon, Virginia, United States
Compensation
USA, MD, Annapolis Junction - 143,700.00 - 194,400.00 USD annually
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, VA, Herndon - 143,700.00 - 194,400.00 USD annually
Responsibilities
Build and deploy machine learning models that automate real-time physical security decisions across all AWS regions
Partner with Applied Scientists to operationalize research models into production-grade inference pipelines
Own the full ML model lifecycle: training infrastructure, real-time serving, monitoring, retraining, and iteration
Design and implement low-latency, high-reliability distributed systems for model serving at scale
Build computer vision pipelines that process video and image data for automated threat detection
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Nice to have: Full software development life cycle
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Lead the development of LLM inference infrastructure and architectural direction of large-scale ML training and real-time inference systems for Amazon Ads.
Locations (3)
Seattle, Washington, United States
Arlington, Virginia, United States
New York, New York, United States
Compensation
USA, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually
Responsibilities
Lead the development of LLM inference infrastructure for next-generation GenAI workloads at Amazon Ads scale
Own the architectural direction of large-scale ML training and real-time inference systems
Partner with applied scientists to design and optimize end-to-end ML pipelines
Influence technical direction beyond your team by establishing ML infrastructure best practices
I
Senior AI/ML Engineer – Agentic AI & Generative AI
Senior AI/ML Engineer with 11 years of experience designing and deploying scalable AI/ML systems, Agentic AI, Lang Chain, Lang Graph, Generative AI and RAG-based applications.
Responsibilities
Design and deploy scalable AI/ML systems
Implement AI architecture design and real-time inference
Build NLP and Generative AI pipelines
Develop model serving architectures using FastAPI and Docker
Create low-latency REST APIs and auto-scaling inference endpoints
Should be a very competent and senior AI/ML Engineer for designing and deploying scalable AI/ML systems, Agentic AI, Lang Chain, Lang Graph, Generative AI and RAG-based applications.
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Software Development EngineerNewAmazon · Arlington, US+3 more