Sr. Principal Scientist, Secure Work Enablement (AWS)

Amazon; Seattle (WA); On-site; USD 240,100 - 324,800; Full time

Job summary

Amazon Development Center Seattle is seeking a Senior Principal Scientist for Secure Work Enablement to lead AI research in enterprise-grade collaboration. You will design novel architectures for secure systems and advance human-AI interaction across teams.

The role emphasizes GenAI, large-scale models, and collaboration with academic partners to mentor in-house talent. Strong publication history preferred.

Qualifications

• Graduate degree in Computer Science, Mathematics, or related field.
• Experience building complex, real-time systems involving Agentic AI, Personalization, and Reinforced Learning with successful delivery to customers.
• Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
• Computer Science fundamentals in data structures, algorithm design, and complexity analysis.
• Ability to develop machine learning platform strategy in the domain of recommender systems.
• Demonstrated track record of peer-reviewed scientific publications that advance state-of-the-art for applied science.

Responsibilities

• Developing novel AI architectures for secure, enterprise-grade collaborative systems.
• Advancing the science of human-AI interaction in workplace environments.
• Creating new frameworks for AI agent orchestration and optimization.
• Pioneering new approaches to privacy-preserving machine learning.
• Defining long-term science vision for the business and translating it into actionable plans for applied scientists and engineers.
• Working with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables.
• Inventing new product experiences that enable teams and agents to collaborate effectively.
• Staying abreast of the latest developments in the field of GenAI and identifying opportunities to improve efficiency and productivity.
• Launching state-of-the-art LLM/GenAI models to production and collaborating with academic partners to support in-house talent with direct access to leading research and mentoring.]

Skills

Agentic AI

Personalization

Reinforcement Learning

Real-time systems

Machine learning

Education

Graduate degree in Computer Science, Mathematics, or related field

Job description

Sr. Principal Scientist, Secure Work Enablement

Job ID: 3102651 | Amazon Development Center U.S., Inc.

Overview

At Secure Work Enablement (SWE), we're pioneering breakthrough AI technologies that are fundamentally transforming how millions of teams and businesses work. Our mission combines leading machine learning research with Amazon's unparalleled expertise in enterprise computing and security to create the next generation of intelligent workplace solutions.

Our portfolio encompasses four innovative domains where applied AI research is critical: Next-Generation End User Computing, Amazon One's advanced biometric systems, Secure Collaboration platforms Wickr and Chime, and Gaia – our revolutionary AI-native workspace that is redefining human-AI agent interactions. Each area presents unique opportunities for advancing the state-of-the-art in machine learning, natural language processing, and AI systems.

We're at an inflection point where traditional workplace computing is being revolutionized by AI technologies. Our distinctive challenge lies in solving complex machine learning problems at scale while maintaining strict security requirements – from developing sophisticated ML models for secure information access to creating intelligent systems that can understand and enhance human productivity in real-time.

With an accomplished team of 650+ technologists and multiple tier-1 services, we’re seeking a Senior Principal Scientist to spearhead our AI research and development initiatives.

Key Responsibilities

• Developing novel AI architectures for secure, enterprise-grade collaborative systems
• Advancing the science of human-AI interaction in workplace environments
• Creating new frameworks for AI agent orchestration and optimization
• Pioneering new approaches to privacy-preserving machine learning
• Defining long-term science vision for the business and translating it into actionable plans for applied scientists and engineers
• Working with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables
• Inventing new product experiences that enable teams and agents to collaborate effectively
• Staying abreast of the latest developments in the field of GenAI and identifying opportunities to improve efficiency and productivity
• Launching state-of-the-art LLM/GenAI models to production and collaborating with academic partners to support in-house talent with direct access to leading research and mentoring

Basic Qualifications

• Graduate degree in Computer Science, Mathematics, or related field.
• Experience building complex, real-time systems involving Agentic AI, Personalization, and Reinforced Learning with successful delivery to customers.
• Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
• Computer Science fundamentals in data structures, algorithm design, and complexity analysis.
• Ability to develop machine learning platform strategy in the domain of recommender systems.
• Demonstrated track record of peer-reviewed scientific publications that advance state-of-the-art for applied science.

Preferred Qualifications

• 15+ years of relevant, broad research experience after PhD degree or equivalent.
• Ability to take a project from requirements gathering and design to actual product launch.
• Exceptional customer understanding skills and experience in leading science efforts to meet timelines with optimal solutions.
• Deep expertise in Machine Learning as applied to large-scale generative models.
• Proficiency in programming for algorithm and code reviews.
• Strong core competency in mathematics and statistics.
• Track record of successful projects in algorithm design and product development.
• Publications at top-tier peer-reviewed conferences or journals.
• Strong prior experience with mentorship and/or management of senior scientists and engineers.
• Strategic thinker who stays on top of tactical execution.
• Excellent business judgment; balances business, product, and technology very well.
• Effective verbal and written communication skills with non-technical and technical audiences.
• Experience working with real-world datasets and building scalable models from big data.

Compensation and Benefits

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, and 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York – 264,100.00 – 350,000.00 USD annually

USA, WA, Seattle – 240,100.00 – 324,800.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.