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• Machine Learning Research Scientist | Engineer - Special Projects

  Machine Learning and AI17 Apr 2026

  LocationSanta Clara

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  • ShareMachine Learning Research Scientist | Engineer - Special Projects 200652790-3760

  • Role Number:  200652790-3760
  • Weekly Hours: 40 Hours

  We are seeking ML research scientists and engineers with a strong background in machine learning, algorithms, decision making, and reinforcement learning to drive breakthrough innovations in intelligent systems.  This position requires a hands-on approach to pioneer new technologies and bring them to life in entirely new product categories and form factors. If you thrive at the intersection of science, engineering, and product impact, this is your chance to make a visible mark at scale. You will work alongside world-class researchers and engineers, contributing to technologies that power th...

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• Data Scientist - Synthetic Data and ML Evaluations - Special Projects

  Machine Learning and AI17 Apr 2026

  LocationCupertino

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  • ShareData Scientist - Synthetic Data and ML Evaluations - Special Projects 200657934-0836

  • Role Number:  200657934-0836
  • Weekly Hours: 40 Hours

  Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.

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• Sr. Machine Learning Engineer, ASR Infrastructure and Tools, Siri Speech

  Machine Learning and AI16 Apr 2026

  LocationCambridge

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  • ShareSr. Machine Learning Engineer, ASR Infrastructure and Tools, Siri Speech 200628190-1242

  • Role Number:  200628190-1242
  • Weekly Hours: 40 Hours

  Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple! To build the best speech recognition models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signals from unprece...

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• Machine Learning Research Engineer, Siri Comprehension & Planning, Siri Agent Modeling

  Machine Learning and AI16 Apr 2026

  LocationCupertino

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  • ShareMachine Learning Research Engineer, Siri Comprehension & Planning, Siri Agent Modeling 200588345-0836

  • Role Number:  200588345-0836
  • Weekly Hours: 40 Hours

  The future of AI is on-device. On the Siri team, we're solving the defining challenge: building and shipping powerful, LLMs that run with extreme efficiency across hundreds of millions of iPhones, Watches, and Macs. You will own the full ML stack, from data to deployment, bridging the gap between bleeding-edge research and product-critical models. This is where the hardest problems in applied ML are being solved.

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• Machine Learning Engineer, Apple Services Engineering

  Machine Learning and AI16 Apr 2026

  LocationSeattle

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  • Share Machine Learning Engineer, Apple Services Engineering 200651732-3337

  • Role Number:  200651732-3337
  • Weekly Hours: 40 Hours

  Are you passionate about building extraordinary products and embracing state of art techniques? It's central to all that we do! The goal of the Apple Services GenAI & ML Frameworks team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.

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• AIML - Site Lead & Lead Researcher, Foundation Models

  Machine Learning and AI15 Apr 2026

  LocationSeattle

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  • ShareAIML - Site Lead & Lead Researcher, Foundation Models 200658199-3337

  • Role Number:  200658199-3337
  • Weekly Hours: 40 Hours

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• AIML - Machine Learning Researcher, MLR

  Machine Learning and AI13 Apr 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, MLR 200657534-0836

  • Role Number:  200657534-0836
  • Weekly Hours: 40 Hours

  Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your result...

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• Engineering Program Manager - Foundation Modeling Data

  Machine Learning and AI13 Apr 2026

  LocationCambridge

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  • ShareEngineering Program Manager - Foundation Modeling Data 200657051-1242

  • Role Number:  200657051-1242
  • Weekly Hours: 40 Hours

  As a member of the Foundation Modeling Data EPM group, you will be responsible for Apple’s ability to use data to power its products for hundreds of millions of users around the world. You will work with the Foundation Modeling Data organization to deliver on our vision to make data the voice of our customers, and to inform product and machine learning development. We're looking for an experienced hands-on program manager to partner with data engineering, data science, product, and client engineering teams. Do you have a track record of successful program management across complex initiati...

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• Engineering Program Manager - Foundation Modeling Data

  Machine Learning and AI13 Apr 2026

  LocationCupertino

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  • ShareEngineering Program Manager - Foundation Modeling Data 200657051-0836

  • Role Number:  200657051-0836
  • Weekly Hours: 40 Hours

  As a member of the Foundation Modeling Data EPM group, you will be responsible for Apple’s ability to use data to power its products for hundreds of millions of users around the world. You will work with the Foundation Modeling Data organization to deliver on our vision to make data the voice of our customers, and to inform product and machine learning development. We're looking for an experienced hands-on program manager to partner with data engineering, data science, product, and client engineering teams. Do you have a track record of successful program management across complex initiati...

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• Machine Learning Engineer - Large Language Models & Generative AI Inference

  Machine Learning and AI10 Apr 2026

  LocationCupertino

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  • ShareMachine Learning Engineer - Large Language Models & Generative AI Inference 200655756-0836

  • Role Number:  200655756-0836
  • Weekly Hours: 40 Hours

  The Intelligence Platform team empowers clients across Apple’s operating systems with a high quality user-centric search and data platform, and the primary inference platform that enable next generation user experiences for Apple Intelligence. We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary role will involve working with our cross-functional teams that build foundation models, as well as our client teams that want to run inference using these m...

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• AIML - Sr Machine Learning Engineer - Data and ML Innovation

  Machine Learning and AI08 Apr 2026

  LocationCupertino

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  • ShareAIML - Sr Machine Learning Engineer - Data and ML Innovation 200613134-0836

  • Role Number:  200613134-0836
  • Weekly Hours: 40 Hours

  Would you like to be a part of Apple’s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine l...

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• AIML - Sr Machine Learning Engineer - Data and ML Innovation

  Machine Learning and AI08 Apr 2026

  LocationSeattle

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  • ShareAIML - Sr Machine Learning Engineer - Data and ML Innovation 200613134-3337

  • Role Number:  200613134-3337
  • Weekly Hours: 40 Hours

  Would you like to be a part of Apple’s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine l...

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• Software Engineer — LLM Systems, Generative AI Infrastructure & Agentic Platforms

  Machine Learning and AI06 Apr 2026

  LocationCupertino

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  • ShareSoftware Engineer — LLM Systems, Generative AI Infrastructure & Agentic Platforms 200649842-0836

  • Role Number:  200649842-0836
  • Weekly Hours: 40 Hours

  The Intelligence Platform team builds scalable, production-grade systems that power high-quality, user-centric intelligence across Apple’s operating systems. We focus on designing and operating large-scale ML systems leveraging Generative AI, Large Language Models, RAG architectures, and emerging agentic AI patterns. Our goal is to deliver reliable, low-latency, and privacy-preserving AI capabilities at scale.

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• Machine Learning Compiler Engineer

  Machine Learning and AI03 Apr 2026

  LocationSunnyvale

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  • ShareMachine Learning Compiler Engineer 200655812-3956

  • Role Number:  200655812-3956
  • Weekly Hours: 40 Hours

  At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro, iPhone, iPad, Mac, and more. This is a dynamic opportunity to work with us in a creative, collaborative environment while developing groundbreaking technologies that will shape th...

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• Machine Learning Engineer — Trust and Safety (Account Trust)

  Machine Learning and AI01 Apr 2026

  LocationAustin

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  • ShareMachine Learning Engineer — Trust and Safety (Account Trust) 200654799-0157

  • Role Number:  200654799-0157
  • Weekly Hours: 40 Hours

  The Trust and Safety group at Apple is responsible for ensuring that users of Apple’s services and products have genuine and safe experiences. Within Trust and Safety, our team works to protect Apple’s communication apps and related platforms from spam and other abuse. The solutions we deploy help us keep Apple ecosystem safe, while mitigating constant attack by external actors. We are seeking a machine learning engineer who will strive to turn data into actionable insights that improve safe customer experience. Successful candidates will have a demonstrated history of self-directed resear...

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• Machine Learning Engineer — Trust and Safety (Account Trust)

  Machine Learning and AI01 Apr 2026

  LocationCupertino

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  • ShareMachine Learning Engineer — Trust and Safety (Account Trust) 200654799-0836

  • Role Number:  200654799-0836
  • Weekly Hours: 40 Hours

  The Trust and Safety group at Apple is responsible for ensuring that users of Apple’s services and products have genuine and safe experiences. Within Trust and Safety, our team works to protect Apple’s communication apps and related platforms from spam and other abuse. The solutions we deploy help us keep Apple ecosystem safe, while mitigating constant attack by external actors. We are seeking a machine learning engineer who will strive to turn data into actionable insights that improve safe customer experience. Successful candidates will have a demonstrated history of self-directed resear...

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• Machine Learning Engineer - Health AIML

  Machine Learning and AI31 Mar 2026

  LocationCupertino

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  • ShareMachine Learning Engineer - Health AIML 200654670-0836

  • Role Number:  200654670-0836
  • Weekly Hours: 40 Hours
  • Home Office: Yes

  The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.

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• AIML - Machine Learning Researcher, DMLI- Image/Video Generation

  Machine Learning and AI31 Mar 2026

  LocationSanta Clara

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  • ShareAIML - Machine Learning Researcher, DMLI- Image/Video Generation 200601297-3760

  • Role Number:  200601297-3760
  • Weekly Hours: 40 Hours

  We are hiring a researcher with a strong technical background in Image/Video generation and editing, as well as Multimodal Foundation Models. You will play a critical role in the research and development of multimodal foundation models for image/video/3D generation, editing, animation, and many more. As a member of the team, you will have the opportunity to develop fundamental model capabilities, collaborate with team members with diverse backgrounds to work on ambitious projects, and collaborate broadly across Apple with world-class engineers and researchers to advance our products and del...

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• AIML - Machine Learning Researcher, DMLI- Image/Video Generation

  Machine Learning and AI31 Mar 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Researcher, DMLI- Image/Video Generation 200601297-3337

  • Role Number:  200601297-3337
  • Weekly Hours: 40 Hours

  We are hiring a researcher with a strong technical background in Image/Video generation and editing, as well as Multimodal Foundation Models. You will play a critical role in the research and development of multimodal foundation models for image/video/3D generation, editing, animation, and many more. As a member of the team, you will have the opportunity to develop fundamental model capabilities, collaborate with team members with diverse backgrounds to work on ambitious projects, and collaborate broadly across Apple with world-class engineers and researchers to advance our products and del...

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• Machine Learning System Software Engineer

  Machine Learning and AI31 Mar 2026

  LocationSunnyvale

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  • ShareMachine Learning System Software Engineer 200654700-3956

  • Role Number:  200654700-3956
  • Weekly Hours: 40 Hours

  At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning System Software Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro, iPhone, iPad, Mac, and more. This is a dynamic opportunity to work in a creative, collaborative environment while developing groundbreaking technologies that will shape the...

  Submit CV