# Applied Scientist, Leo Security at Amazon

Amazon is hiring an Applied Scientist, Leo Security. It pays $143k-$193k a year and Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/014937af-4672-4d81-bd62-20db91f90309?utm_medium=ai-agent).

AI Level 1, AI centrality 19 out of 100. US, VA, Herndon.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 1 (score 19 out of 100)
- Location: US, VA, Herndon
- Salary: $143k-$193k
- Posted: October 19, 2026
- Apply: https://jobsbylevel.com/go/014937af-4672-4d81-bd62-20db91f90309?utm_medium=ai-agent

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/applied-scientist-leo-security-at-amazon-bdf5b5

## Description

Amazon Leo is a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world. We are looking for an Applied Scientist to join the founding cohort of the Engineering and R\&D team within Leo Space Security. The team defends the manufacturing lines, launch sites, and global ground infrastructure behind the constellation from the most sophisticated threat actors on the planet. The data is unlike anything you have worked with: badge and door-access events, asset movement, network telemetry, and industrial control signals from factories, ground stations, and launch facilities, all of which must be modeled, baselined, and defended. You will build the statistical and behavioral models that separate threat actor behavior from the noise of a global operation, and the privacy-preserving data representations that let detection science scale without exposing sensitive data. This is an R\&D role with a production mandate: every model you build becomes part of the system Leo's security teams use to protect the constellation. #### Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities - Build behavioral and statistical models that baseline normal activity across heterogeneous security telemetry, including specialized industrial-control and factory-floor data sources, so detections extend to new environments with low false-positive rates. - Design privacy-preserving representations of sensitive security data, and verify that models and detections tuned against them remain accurate against the real data — turning data-protection guarantees into measurable, provable properties rather than assertions. - Define the methodology and own the analysis for difficult, loosely defined problems: gather complex data across domains, select the right techniques from a range of data science methods, and justify your approach with evidence. - Develop the metrics and evaluation frameworks that measure model and detection performance against threat actor behavior before a model is trusted in production. - Contribute to the team's neurosymbolic reasoning platform, adapting state-of-the-art techniques from the literature and shipping components at production quality. - Document your work with the rigor of a peer-reviewed publication, and communicate results clearly to both scientific and security-operations audiences. A day in the life You will move between analysis and production in the same week: profiling a telemetry source the team has never modeled, establishing what normal looks like for it, and shipping the baseline as a component detections build on. Security engineers on your team translate threat intelligence into the adversary behaviors that matter; you build and tune the models that detect those behaviors and evaluate model performance against them. You might spend a morning chasing a false-positive pattern to its statistical root cause, and the afternoon verifying that an anonymized dataset still preserves the signal a detection depends on. You will work semi-autonomously with guidance from senior scientists, backtest candidate detections against retained telemetry, and deliver scientific artifacts that ship. About the team Leo Space Security protects the people, facilities, hardware, and supply chain behind a global satellite constellation. The Engineering and R\&D team within this organization builds the platforms and tooling the security pillar teams operate on, moving security operations from manual triage to correlation-based detection, automated response, and agentic AI. The team is composed of applied scientists, software engineers, and security engineers working across physical and digital security domains.

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/applied-scientist-leo-security-at-amazon-bdf5b5

Source: https://jobsbylevel.com/jobs/applied-scientist-leo-security-at-amazon-bdf5b5

## Cite this page

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