[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Apple jobs](https://jobs.opennash.com/companies/apple/) · [Search jobs](/search/)

Apple

# Research Scientist, Applied Machine Learning Security (Agent Systems), SEAR

Cupertino, United States of America Data & Analytics 

Listed on Apple’s official careers site. Posted September 9, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200682701/research-scientist-applied-machine-learning-security-agent-systems-sear)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / Research Scientist, Applied Machine Learning Security (Agent Systems), SEAR

## Job description

At Apple, we believe privacy is a fundamental human right. Our Security Engineering & Architecture (SEAR) organization is at the forefront of protecting billions of users worldwide, building security into every product, service, and experience we create. The SEAR ML Security Engineering team combines cutting-edge machine learning with world-class security engineering to defend against evolving threats at unprecedented scale.

We're responsible for developing intelligent security systems for Apple Intelligence that protect Apple's ecosystem while preserving the privacy our users expect and deserve. We're seeking a ML Security Research Scientist who operates at the intersection of applied research and production impact. You'll lead original security research on agentic ML systems deployed at scale—driving secure agentic design directly into shipping products, identifying real vulnerabilities in tool-using models and designing adversarial evaluations that reflect actual attacker behavior.

You'll work at the boundary between research, platform engineering, and product security, translating findings into architectural decisions, launch requirements, and long-term hardening strategies that protect billions of users. Your impact will be measured by risk reduction in production systems that ship.

## At a glance
- Posted by the employer: Sep 9, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 39 days
- Location: Cupertino, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200682701/research-scientist-applied-machine-learning-security-agent-systems-sear)

## More jobs at Apple

### [AI Data & Infrastructure Engineer](https://jobs.opennash.com/companies/apple/jobs/cd25d0b696f5bfabf9ab/)

Cupertino, United States of America

### [AI Data & Knowledge Engineer](https://jobs.opennash.com/companies/apple/jobs/dfde219985e33617bdb9/)

Cupertino, United States of America

### [AI Data Platform Engineer](https://jobs.opennash.com/companies/apple/jobs/a74cb1ecb4fbea968a1d/)

Cupertino, United States of America

### [AI/ML - Machine Learning Engineer, Text Language Identification](https://jobs.opennash.com/companies/apple/jobs/5e6432f121d1a36c5dd0/)

Cupertino, United States of America

### [AI/ML Engineer: System RF Data Ecosystem](https://jobs.opennash.com/companies/apple/jobs/6287b15053e4aed5093a/)

Cupertino, United States of America

## Similar jobs at other companies

### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/)

Walmart · United States

### [Cyber Applied Research Scientist - Arlington VA](https://jobs.opennash.com/companies/lockheed-martin/jobs/c1111c158ce89876efc5/)

Lockheed Martin · Arlington, VA

### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/)

Oracle · United States

### [Applied AI and Machine Learning Lead](https://jobs.opennash.com/companies/jpmorganchase/jobs/8c37b79b725d65e36082/)

JPMorganChase · Jersey City, NJ, United States

### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/)

Microsoft · United States, Washington, Redmond

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)