The point where experts and best companies meet
Apple Principal Applied Research Engineer / Scientist United States, California, Cupertino 333128704
09.06.2025
Share
Our team is seeking adept machine learning scientists and engineers to buildcutting-edge AI-driven products at Apple. This role focuses on full-stack MLdevelopment, from prototyping to production implementation, working closelywith hardware, software, and design teams across the company. You'll be joininga select group of accomplished professionals who have made significantcontributions to cutting-edge LLM projects in a collaborative environment thatfosters innovation and pushes the boundaries of AI and machine learning. Yourwork will have far-reaching impact, influencing key strategic decisions and settingprecedents for how AI technologies are integrated across our product ecosystem.
In this role, you will be responsible for the entire ML development lifecycle,working with cross-functional teams to bring innovative AI technologies intoreality. You'll design high-performance ML models, create and influence MLtooling and infrastructure, drive evaluation efforts, and implement modelinference solutions.The team values rapid iteration, based on bringing models into reality sostakeholders can understand cutting-edge technology and research. You'llcollaborate with hardware, software, and design teams across Apple, bothrepresenting the technology and implementing complete engineering solutionsready for product development.This unique opportunity places you at the forefront of innovation, working onprojects that have the potential to redefine user experiences and technologicalcapabilities at a company-wide level. Each team member brings unique expertisefrom their work on transformative industry projects, contributing to anenvironment that consistently pushes the boundaries of what's possible with AIand machine learning.KEY RESPONSIBILITIES:- Design, build, and implement production-ready ML models and infrastructure inpartnership with designers, software/hardware engineers, and applied R&Dteams- 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-orientedleadership- Influence modeling architecture decisions and translate research innovationsinto practical implementations- Engage with diverse teams across Apple to represent AI technology andimplement it into prototypes
- 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
- 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
These jobs might be a good fit
