Applied Scientist, Amazon Optics
Amazon.com Services LLC•3h ago
United StatesHybridFull-time
H-1B verified · 2310 LCAs
Top focus
Applied Scientist
- Amazon Optics owns the design, delivery
- operation of the unified physical security platform that protects Amazon's global infrastructure. We consolidate alarm management, device monitoring
- video surveillance data to deliver real-time situational awareness and actionable insights for security professionals. We work on complex challenges spanning automated threat detection, signal processing
- AI-driven security evaluation
- we are looking for talented people who want to help protect Amazon's people, assets
- operations at scale. You will join a diverse team of software engineers, data scientists, security specialists
- operations managers. You will collaborate with teams across Amazon to deliver the highest standards for physical security while enabling our customers to scale their security operations efficiently. You will experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Come work for the Optics Incident Response Tech team, specializing in the detection, triage
- resolution of physical security incidents across Amazon's global footprint. We are looking for an Applied Scientist who is passionate about applying artificial intelligence and machine learning to physical security operations. You will build services and tools that leverage AI/ML to automate false alarm resolution, enable intelligent signal processing
- deliver predictive insights from security event data. You will be part of a team building Large Language Model (LLM)-based services focused on enabling security teams to interact with alarm, access control
- video surveillance data in real time. The team works in close collaboration with other Optics services including Signals, Access Control Management, Video Surveillance and Analytics to power automated mitigations that protect Amazon's global infrastructure. If you are excited about transforming physical security operations through applied science, we would love to talk to you. Key job responsibilities Design and develop ML models for automated alarm triage, false alarm suppression
- anomaly detection across physical security signal streams (access control events, intrusion alarms, video analytics triggers) Build and optimize LLM-based systems that enable security operators to query, summarize
- interact with incident data using natural language Develop predictive models that identify emerging security patterns, correlate multi-source signals
- enable proactive incident response before threats materialize Research and implement computer vision applications for video-based threat detection, object classification
- automated situational awareness during active incidents Architect end-to-end ML pipelines from data ingestion through model training, evaluation, deployment
- monitoring in production Collaborate with software engineers to integrate ML solutions into the Optics platform's real-time event processing infrastructure Define evaluation frameworks including precision/recall metrics for alarm classification, latency requirements for real-time inference
- A/B testing protocols for model improvements Own model performance in production including drift detection, retraining cadences
- incident-driven model updates Identify and scope ambiguous problem areas where ML can transform incident response workflows, even when the business problem is not yet fully defined Drive scientific breakthroughs in areas such as multi-modal fusion (combining video and sensor data), few-shot learning for rare security events
- reinforcement learning for dynamic response prioritization Advise team members on ML best practices, model selection, feature engineering
- experimental design Influence product roadmaps by translating scientific capabilities into customer-facing features that reduce mean time to resolution and false alarm rates Engage with cross-functional stakeholders including security operations, hardware engineering
- partner teams (Signals, Access Control Management, Analytics) to align scientific investments with operational needs Reduce false alarm rates through intelligent signal classification and contextual filtering Decrease mean time to detection and resolution for genuine security incidents Increase automation coverage for routine incident types, freeing human operators for complex threat assessment Publish internal research and contribute to the broader ML/security community through papers and patents About the team Our team and customers are distributed across the globe with most of our team members on the East Coast heavily concentrated in the DMV area and JFK and some members in the Seattle area. Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path
- includes alternative experiences, don’t let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations
- physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives
- voices. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training
- other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home
- is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
- 3+ years of building models for business application experience - PhD
- Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications
- location. Amazon also offers comprehensive benefits including 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), 401(k) matching, paid time off
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MD, Annapolis Junction - 142,800.00 - 193,200.00 USD annually USA, NY, New York - 172,400.00 - 223,400.00 USD annually USA, VA, Herndon - 142,800.00 - 193,200.00 USD annually
Required skills
Machine LearningArtificial IntelligenceComputer VisionData IngestionModel TrainingModel EvaluationModel DeploymentNatural Language ProcessingAnomaly DetectionSignal ProcessingPredictive ModelingVideo AnalyticsFeature EngineeringA/B TestingDrift Detection