22 hours ago
Herndon, VA, USA or New York, NY, USAMid Level
H1B sponsor
Base Salary
$144k - $214k/yr
Responsibilities
- Build and deploy machine learning models for real-time physical security decisions across AWS regions.
- Operationalize research models into production-grade inference pipelines with Applied Scientists.
- Own training infrastructure, real-time serving, monitoring, retraining, and model iteration.
- Design and implement low-latency, highly reliable distributed model-serving systems.
- Build computer vision pipelines for video and image-based threat detection.
- Develop and maintain Infrastructure as Code for machine learning and application infrastructure.
- Monitor production model performance, identify drift, and drive continuous improvement.
- Contribute to architecture, system design, code reviews, testing, deployment, and operational excellence.
- Collaborate with security operations, hardware, and product teams to define requirements.
- Mentor team members and promote knowledge sharing and technical growth.
Requirements
- At least 3 years of non-internship professional software development experience.
- At least 2 years of non-internship experience designing or architecting new and existing systems, including reliability and scaling.
- Experience with machine learning and Large Language Model fundamentals, including model architecture, training and inference lifecycles, and execution optimization.
- At least 1 year of experience designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed applications, tools, systems, or services using C#, C++, Java, or Perl.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
- Knowledge of machine learning model architecture and inference.
- Preferred: at least 3 years of full software development lifecycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Preferred: bachelor's degree in computer science or equivalent.
Benefits
- Comprehensive medical, dental, vision, prescription, life, AD&D, employee assistance, mental health, medical advice, flexible spending, adoption, and surrogacy benefits.
- 401(k) matching, paid time off, and parental leave.
- Sign-on payments and restricted stock units are included in the Amazon package.
- Flexible work hours and arrangements are part of the work culture.
- Training, knowledge-sharing, and career-advancement resources are available.
Categories
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.