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Principal Applied Research Engineer / Scientist
Cupertino, California, United States
Machine Learning and AI
Summary
Posted: Jun 03, 2025
Role Number: 200607563
Our team is seeking adept machine learning scientists and engineers to build
cutting-edge AI-driven products at Apple. This role focuses on full-stack ML
development, from prototyping to production implementation, working closely
with hardware, software, and design teams across the company. You'll be joining
a select group of accomplished professionals who have made significant
contributions to cutting-edge LLM projects in a collaborative environment that
fosters innovation and pushes the boundaries of AI and machine learning. Your
work will have far-reaching impact, influencing key strategic decisions and setting
precedents for how AI technologies are integrated across our product ecosystem.
Description
In this role, you will be responsible for the entire ML development lifecycle,
working with cross-functional teams to bring innovative AI technologies into
reality. You'll design high-performance ML models, create and influence ML
tooling and infrastructure, drive evaluation efforts, and implement model
inference solutions.
The team values rapid iteration, based on bringing models into reality so
stakeholders can understand cutting-edge technology and research. You'll
collaborate with hardware, software, and design teams across Apple, both
representing the technology and implementing complete engineering solutions
ready for product development.
This unique opportunity places you at the forefront of innovation, working on
projects that have the potential to redefine user experiences and technological
capabilities at a company-wide level. Each team member brings unique expertise
from their work on transformative industry projects, contributing to an
environment that consistently pushes the boundaries of what's possible with AI
and machine learning.
KEY RESPONSIBILITIES:
- Design, build, and implement production-ready ML models and infrastructure in
partnership with designers, software/hardware engineers, and applied R&D
teams
- Drive data generation, curation, and evaluation efforts for ML systems
- Develop and optimize model inference solutions
- Rapidly prototype AI solutions that solve real-world problems
- Communicate and advocate for novel research directions to product-oriented
leadership
- Influence modeling architecture decisions and translate research innovations
into practical implementations
- Engage with diverse teams across Apple to represent AI technology and
implement it into prototypes
Minimum Qualifications
Bachelor's degree in Computer Science, Machine Learning, or related technical
field, or equivalent practical experience
Proven experience advancing the state of the art of machine learning through
hands-on work in product development, prototyping, or research environments
Strong programming skills with experience in machine learning development
Understanding of transformer-based models and their applications in product
development
Ability to communicate complex technical concepts to diverse audiences
Track record of rapid prototyping in ML/AI contexts
Preferred Qualifications
Deep technical expertise in transformer-based large language models (LLMs)
and multi-modal foundation models that integrate text, visual, and audio
encoders with cross-modal attention mechanisms
Experience across areas such as pre-training, fine-tuning, performance
optimization, and safety alignment
Expertise in designing and implementing AI agents capable of complex
reasoning, task planning, and autonomous decision-making in diverse
environments
Forward-thinking creativity and curiosity about shaping AI capabilities into
compelling product experiences that deliver genuine user value
Demonstrated ability to influence modeling architecture decisions and translate
research innovations into practical, product-ready implementations
Strong collaborative skills with experience effectively communicating and
advocating for novel research directions to product-oriented leadership
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
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