Sr. Applied Scientist, Enterprise Security Products

Benefits

Parental leave

6 weeks From the posting source

Non-birth-parent leave

6 weeks From the posting source

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$167K-$226K From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

76% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Senior From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. Applied Scientist, Enterprise Security Products Austin, Texas, USA What happens when you combine startup speed with Amazon-scale innovation and impact? You get this team. Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools using AI-first development practices. Here, you don't just publish papers about what's possible, you ship it to production and watch it protect real customers. This role offers a rare opportunity to define the scientific direction of a greenfield security portfolio, where agentic AI, foundation models, and novel ML approaches aren't future bets, they're what we're building right now. It's a chance to shape the future of security tooling with a small, fast team that researches like a lab and deploys like Amazon. Key job responsibilities * Set the science vision: Define a multi-year science roadmap for AI-powered security products. Identify where foundation models, agentic systems, and emerging ML techniques can fundamentally change how we detect, prevent, and respond to threats protecting Amazon Business customers. * Invent and build, end to end: Design and personally develop novel ML solutions - from agentic architectures and RAG systems to anomaly detection and behavior modeling. You won't hand off prototypes; you'll partner with engineers and PMs to ship them into production. * Tackle scientifically ambiguous problems: Translate messy, open-ended security challenges into well-defined scientific problems. Own the critical novelty in our systems and provide system-wide design guidance. * Experiment with rigor and speed: Design and run offline and online experiments to validate ideas quickly. Make

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