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• Sr. Machine Learning Engineer, Siri Speech

  التعلم الآلي والذكاء الاصطناعي08 مايو 2026

  الموقعCupertino

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةSr. Machine Learning Engineer, Siri Speech 200662258-0836

  • رقم الوظيفة:  200662258-0836
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users!

  إرسال السيرة الذاتية

• Sr Machine Learning Engineer, Proactive

  التعلم الآلي والذكاء الاصطناعي07 مايو 2026

  الموقعSanta Clara

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةSr Machine Learning Engineer, Proactive 200661999-3760

  • رقم الوظيفة:  200661999-3760
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  We are looking for a hardworking and experienced Machine Learning Engineer to build intelligent search experiences. In this role, you will build intelligent search systems that deeply understand user intent and context to return highly relevant, accurate, and personalized responses. You will develop and deploy machine learning models to shape how users find relevant content or answers, driving better experiences and higher satisfaction!

  إرسال السيرة الذاتية

• Staff Applied Scientist, AI Quality & Meta Evaluation

  التعلم الآلي والذكاء الاصطناعي04 مايو 2026

  الموقعSeattle

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةStaff Applied Scientist, AI Quality & Meta Evaluation 200661039-3337

  • رقم الوظيفة:  200661039-3337
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  Apple Services Engineering (ASE) powers AI and LLM features across App Store, Music, Video, and more. As these systems increasingly rely on LLM Judges and automated evaluators to score model performance at scale, the trustworthiness of those evaluation signals becomes mission-critical. We believe that to build exceptional LLMs, you need exceptional mechanisms to validate the signals used to train and evaluate them.

  إرسال السيرة الذاتية

• Senior Computer Vision Machine Learning Engineer, Apple Wallet

  التعلم الآلي والذكاء الاصطناعي30 أبريل 2026

  الموقعAustin

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةSenior Computer Vision Machine Learning Engineer, Apple Wallet 200630530-0157

  • رقم الوظيفة:  200630530-0157
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple—from other ML teams to Operations to Engineering—with strong leadership support and investment in our mission-critical work. We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security

  إرسال السيرة الذاتية

• Senior Computer Vision Machine Learning Engineer, Apple Wallet

  التعلم الآلي والذكاء الاصطناعي30 أبريل 2026

  الموقعNew York

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةSenior Computer Vision Machine Learning Engineer, Apple Wallet 200630530-2459

  • رقم الوظيفة:  200630530-2459
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple—from other ML teams to Operations to Engineering—with strong leadership support and investment in our mission-critical work. We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security

  إرسال السيرة الذاتية

• AIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety

  التعلم الآلي والذكاء الاصطناعي27 أبريل 2026

  الموقعCupertino

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةAIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety 200660344-0836

  • رقم الوظيفة:  200660344-0836
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Ap...

  إرسال السيرة الذاتية

• AIML - Machine Learning Researcher, MLR

  التعلم الآلي والذكاء الاصطناعي27 أبريل 2026

  الموقعCupertino

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةAIML - Machine Learning Researcher, MLR 200660283-0836

  • رقم الوظيفة:  200660283-0836
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  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 results...

  إرسال السيرة الذاتية

• Machine Learning Engineer - Health AIML

  التعلم الآلي والذكاء الاصطناعي24 أبريل 2026

  الموقعCupertino

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةMachine Learning Engineer - Health AIML 200659977-0836

  • رقم الوظيفة:  200659977-0836
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  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 engineers, 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.

  إرسال السيرة الذاتية

• Machine Learning (MLOps) Engineer

  التعلم الآلي والذكاء الاصطناعي23 أبريل 2026

  الموقعCupertino

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةMachine Learning (MLOps) Engineer 200657395-0836

  • رقم الوظيفة:  200657395-0836
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring that AI/ML systems are reliable, scalable, and continuously improving in production. You will bridge the gap between data science and engineering, driving operational excellence across the full ML lifecycle.

  إرسال السيرة الذاتية

• Machine Learning Engineer

  التعلم الآلي والذكاء الاصطناعي23 أبريل 2026

  الموقعCupertino

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةMachine Learning Engineer 200657324-0836

  • رقم الوظيفة:  200657324-0836
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine learning solutions from research and experimentation through to robust, production-grade deployment.

  إرسال السيرة الذاتية

• ML Researcher, Autonomous Security

  التعلم الآلي والذكاء الاصطناعي22 أبريل 2026

  الموقعAustin

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةML Researcher, Autonomous Security 200659299-0157

  • رقم الوظيفة:  200659299-0157
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  The Information Security Machine Learning (ISML) team empowers information security by harnessing patterns and insights from vast amounts of data to predict, detect, and respond; transforming reactive security into autonomous protection. We are seeking a highly innovative and experienced ML Researcher specializing in streaming threat detection over provenance graphs to join our dynamic team. As an ML Researcher on Autonomous Security, you will be instrumental in advancing the state-of-the-art in ML for cybersecurity, focusing on developing dynamic, adaptive, and robust security solutions th...

  إرسال السيرة الذاتية

• ML Researcher, Autonomous Security

  التعلم الآلي والذكاء الاصطناعي22 أبريل 2026

  الموقعSeattle

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةML Researcher, Autonomous Security 200659299-3337

  • رقم الوظيفة:  200659299-3337
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  The Information Security Machine Learning (ISML) team empowers information security by harnessing patterns and insights from vast amounts of data to predict, detect, and respond; transforming reactive security into autonomous protection. We are seeking a highly innovative and experienced ML Researcher specializing in streaming threat detection over provenance graphs to join our dynamic team. As an ML Researcher on Autonomous Security, you will be instrumental in advancing the state-of-the-art in ML for cybersecurity, focusing on developing dynamic, adaptive, and robust security solutions th...

  إرسال السيرة الذاتية

• ML Researcher, Autonomous Security

  التعلم الآلي والذكاء الاصطناعي22 أبريل 2026

  الموقعSunnyvale

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةML Researcher, Autonomous Security 200659299-3956

  • رقم الوظيفة:  200659299-3956
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  The Information Security Machine Learning (ISML) team empowers information security by harnessing patterns and insights from vast amounts of data to predict, detect, and respond; transforming reactive security into autonomous protection. We are seeking a highly innovative and experienced ML Researcher specializing in streaming threat detection over provenance graphs to join our dynamic team. As an ML Researcher on Autonomous Security, you will be instrumental in advancing the state-of-the-art in ML for cybersecurity, focusing on developing dynamic, adaptive, and robust security solutions th...

  إرسال السيرة الذاتية

• AIML- Compliance & Policies Lead, Evaluation

  التعلم الآلي والذكاء الاصطناعي21 أبريل 2026

  الموقعNew York

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةAIML- Compliance & Policies Lead, Evaluation 200658279-2459

  • رقم الوظيفة:  200658279-2459
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. The AIML Privacy and Regulatory Compliance (PaRC) team leads privacy and regulatory compliance across AIML, partnering closely with Privacy Engineering, Privacy Legal, Competition Legal, Government Affairs, and various regulatory groups. This team shapes the direction of software features, models, and platforms across the company — balancing the tradeoffs invol...

  إرسال السيرة الذاتية

• AIML - Distinguished Engineer, Foundation Models

  التعلم الآلي والذكاء الاصطناعي20 أبريل 2026

  الموقعCupertino

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةAIML - Distinguished Engineer, Foundation Models 200622814-0836

  • رقم الوظيفة:  200622814-0836
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  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...

  إرسال السيرة الذاتية

• Machine Learning Manager, Siri Speech

  التعلم الآلي والذكاء الاصطناعي16 أبريل 2026

  الموقعCupertino

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةMachine Learning Manager, Siri Speech 200646880-0836

  • رقم الوظيفة:  200646880-0836
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  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. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Come join us and do your best ...

  إرسال السيرة الذاتية

• Sr. Machine Learning Engineer, Siri Speech

  التعلم الآلي والذكاء الاصطناعي16 أبريل 2026

  الموقعCupertino

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةSr. Machine Learning Engineer, Siri Speech 200641206-0836

  • رقم الوظيفة:  200641206-0836
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  Are you excited about Generative AI and Large Language Models? Do you want to work on cutting-edge generative technologies that power intelligent, natural interactions for billions of users? Join the SWE Speech team at Apple! Our team develops state-of-the-art machine learning technologies for speech understanding, speech generation, and speech-to-speech interaction. We build scalable infrastructure, high-quality datasets, and advanced models that power Siri, Dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recogniti...

  إرسال السيرة الذاتية

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

  التعلم الآلي والذكاء الاصطناعي16 أبريل 2026

  الموقعCupertino

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةMachine Learning Research Engineer, Siri Comprehension & Planning, Siri Agent Modeling 200588345-0836

  • رقم الوظيفة:  200588345-0836
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  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.

  إرسال السيرة الذاتية

• Machine Learning Engineer, Apple Services Engineering

  التعلم الآلي والذكاء الاصطناعي16 أبريل 2026

  الموقعSeattle

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركة Machine Learning Engineer, Apple Services Engineering 200651732-3337

  • رقم الوظيفة:  200651732-3337
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  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.

  إرسال السيرة الذاتية

• AIML - Site Lead & Lead Researcher, Foundation Models

  التعلم الآلي والذكاء الاصطناعي15 أبريل 2026

  الموقعSeattle

  الإجراءات

  
  • اطّلع على الوصف الكامل للوظيفة
  • مشاركةAIML - Site Lead & Lead Researcher, Foundation Models 200658199-3337

  • رقم الوظيفة:  200658199-3337
  • ساعات العمل الأسبوعية: 40 ساعات/ساعة

  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...

  إرسال السيرة الذاتية