22 hours ago
Annapolis Junction, MD, USA +3 moreMid Level
H1B sponsor
Base Salary
$144k - $214k/yr
Responsibilities
- Build and deploy machine learning models that automate real-time physical security decisions across AWS regions.
- Partner with Applied Scientists to convert research models into production-grade inference pipelines.
- Own the ML model lifecycle, including 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 for video and image-based automated threat detection.
- Develop and maintain Infrastructure as Code for ML and application infrastructure.
- Monitor production model performance, identify drift, and drive continuous improvement.
- Contribute to system architecture and design decisions.
- Participate in code reviews and provide feedback to peers and senior engineers.
- Collaborate with security operations, hardware, and product teams to define requirements.
- Automate operational processes, maintain runbooks, and mitigate risks proactively.
- Mentor team members and contribute to knowledge sharing and technical growth.
Requirements
- At least 3 years of non-internship professional software development experience.
- At least 2 years of experience designing or architecting new and existing systems, including design patterns, 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 software 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.
- Preferred: at least 3 years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
Benefits
- Comprehensive benefits include medical, dental, vision, prescription, life and AD&D insurance, employee assistance, mental health support, a medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave are offered.
- Flexible work hours and arrangements are part of the team culture.
- Training, knowledge-sharing, and career-advancement resources are available.
- The listed locations are Annapolis Junction, Maryland; New York, New York; Arlington, Virginia; and Herndon, Virginia.
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.