principal machine learning Research Scientist tech_leadership Phd's · Posted Jul 13, 2026

About this role

Apple is hiring a principal-level Research Scientist in the machine learning function based in Cupertino, CA. The posting calls out experience with TensorFlow, PyTorch, Machine Learning, iOS. Listed education preference: a Ph.D. or equivalent.

Role
Research Scientist
Function
machine learning
Level
principal
Track
Tech leadership
Location
Cupertino, CA
Education
Ph.D. preferred
Department
Machine Learning and AI
Posted
Jul 13, 2026
AI Summary
Lead end-to-end ML research incubations for Siri and speech products from ideation to deployment. Drive innovation in AI assistants with focus on personal context understanding and on-screen awareness. Requires strong ML modeling background, publication record at top conferences, and demonstrated ability to ship at scale.

Job description

from Apple careers

Join the team redefining what a deeply personal and integrated assistant can be.

As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.

The Siri team is looking for an exceptional Principal Research Scientist with a strong background in ML modeling who is passionate about incubating and deploying innovative technologies and features. The mission of our incubation team is to ideate, prototype, and ship high impact user experiences, partnering with teams across software, hardware, and design to unlock new capabilities for Siri as well as speech-related products such as Dictation. We are an elite team of strongly technical and creative thinkers who pursue both critical missions and strategic explorations collaboratively as a team. This position offers the right person a chance to play an important role in bringing the promise of AI and agentic assistance to millions of Apple users in a safe, reliable, and delightful way. It is a chance to “think different” about AI, the Apple way.

You are a technical leader with a demonstrated track record of identifying the right problems, taking calculated risks, and shipping at scale. In this role, you will lead end-to-end incubations from early ideation to deployment, applying state-of-the-art ML research, algorithmic innovation, and agentic systems to challenges with both immediate and long-term company-wide impact. You bring deep intellectual curiosity, the ability to operate at the frontier of applied research, and the excellent communication skills to align executives and cross-functional partners alike. When your work breaks new ground, you will have the opportunity to publish your findings and engage with the broader academic community all while driving real-world impact at Apple's global scale.
<h3>Minimum Qualifications</h3>MSc or PhD in Computer Science, Machine Learning, or related field; or equivalent track record of incubating and shipping ML features, platforms, and/or products
5+ years of experience leading an ML team
Deep understanding of the ML model lifecycle for large-scale systems
Demonstrated expertise in ML with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech)
Proficient modeling skills; deep familiarity with toolkits such as JAX, PyTorch, and/or Tensorflow
<h3>Preferred Qualifications</h3>Demonstrated ability to influence high-level architecture decisions and advocate for novel research directions with product and executive leadership
Exceptional communication and interpersonal skills, able to translate complex technical work for a broad audience
Experience working across hardware, software, and design partnerships to bring ML capabilities to production
Passion for building AI that is both technically rigorous and meaningfully human

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