Role at a glance
- Salary
- $184.7K – $324.8K/yr
- Location
- San Francisco Bay Area, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- MS, or PhD in Computer Science, Machine Learning, Statistics, or related fields; or an equivalent qualification acquired through other...
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Role Summary
The Machine Learning Engineer will join Apple's Responsible AI red-teaming function, probing Apple Intelligence features before and after shipment for reproducible safety vulnerabilities. The role owns a cluster of features, develops attack strategies and automated tooling, and works with internal, external, and adjacent security teams to drive findings toward mitigation.
What You'll Do
- Own a dedicated cluster of Apple Intelligence features and build sustained expertise in their architecture and failure modes
- Probe systems pre-ship and post-ship to find real, reproducible vulnerabilities
- Invent attack strategies and keep pace with newly published jailbreak and attack research
- Validate and triage findings by severity and reach, and drive them through to mitigation
- Design and build automated red-teaming tooling to scale attack generation and testing coverage
- Partner with the internal and external crowd and adjacent security teams to route findings appropriately
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience working with generative models for evaluation and/or product development; strong Python engineering skills; deep experience in foundation model-based AI programming; experience with noisy, crowd-based data labels and human evaluations.
Required
- MS or PhD in Computer Science, Machine Learning, Statistics, or related fields, or an equivalent qualification
- Experience working with generative models for evaluation and/or product development
- Up-to-date knowledge of common challenges and failures in generative models
- Strong engineering skills and experience writing production-quality code in Python
- Deep experience in foundation model-based AI programming
- Experience working with noisy, crowd-based data labels and human evaluations
Preferred
- Experience working in the Responsible AI space
- Prior scientific research and publication experience
- Strong organizational and operational skills working with large, multi-functional, and diverse teams
- Curiosity about fairness and bias in generative AI systems
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
Would you like to play a part in protecting Apple Intelligence from real-world misuse before it reaches users? We're looking for a Machine Learning Engineer to join Apple's Responsible AI red-teaming function — a dedicated team focused on actively probing Apple Intelligence features to find real safety vulnerabilities. In this role you'll own a cluster of AI features, invent novel attacks against them, and build the tooling to scale your own techniques.
Description
This role focuses on actively red-teaming Apple Intelligence features — pre-ship and post-ship — to find real, reproducible vulnerabilities. You'll take in signals from feature risk assessments, policy definitions, evaluation results, code changes, and published attack research, and use them to probe for novel failure modes across features and models, including attacks in agentic scenarios.Producing red-teaming findings that meaningfully improve Apple's Responsible AI posture requires validating that an issue is real and reproducible, triaging its severity and reach, and driving it to resolution through the right stakeholders. This role also involves building automated red-teaming tooling — attack generation, batch orchestration, and feedback loops against known issues — to scale beyond manual testing, and partnering with a dedicated crowd and with adjacent security teams to scale efforts as well as share findings and best practices.This role heavily draws on adversarial and creative technical thinking, applied security and linguistic expertise, cross-functional communication, and sustained ownership of a feature area over time. Prior experience in AI red-teaming recommended.
Responsibilities
Own a dedicated cluster of Apple Intelligence features and build sustained expertise in their architecture and failure modesActively probe systems pre-ship and post-ship to find real, reproducible vulnerabilitiesInvent novel attack strategies and keep pace with newly published jailbreak and attack researchValidate and triage findings by severity and reach, and drive them through to mitigationDesign and build automated red-teaming tooling to scale attack generation and testing coverageIdentify gaps in policy and evaluation coverage and feed them back to eval and mitigation teamsPartner with the internal and external crowd and and with adjacent security teams to route findings appropriatelyWork with highly sensitive content, including exposure to offensive and controversial material.
Minimum Qualifications
MS, or PhD in Computer Science, Machine Learning, Statistics, or related fields; or an equivalent qualification acquired through other avenues.Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures.Strong engineering skills and experience in writing production-quality code in Python.Deep experience in foundation model-based AI programming (i.e.: using DSPy for optimizing foundation model prompts, for example) and a drive to innovate in this space.Experience working with noisy, crowd-based data labels and human evaluations.
Preferred Qualifications
Experience working in the Responsible AI space.Prior scientific research and publication experience.Strong organizational and operational skills working with large, multi-functional, and diverse teams.Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable.
Pay & Benefits — San Francisco Bay Area, California, United States
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.