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• AIML - Machine Learning Research

  Machine Learning and AI08 jun 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Research 200666843-0836

  • Role Number:  200666843-0836
  • Weekly Hours: 40 Hours

  Apple AFM Multilinguality (i18n) / Machine Translation team is looking for exceptional researchers/scientists to develop the next generation of Apple Foundation Models to allow our users to communicate across language barriers and perform multilingual tasks. Passionate about Natural Language Processing, Large Language Modeling (LLMs) and Machine Translation? Join us to bring the most advanced Multilingual solution across the Apple ecosystem.

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• AIML - Machine Learning Research

  Machine Learning and AI08 jun 2026

  LocationNew York City

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  • ShareAIML - Machine Learning Research 200666843-2459

  • Role Number:  200666843-2459
  • Weekly Hours: 40 Hours

  Apple AFM Multilinguality (i18n) / Machine Translation team is looking for exceptional researchers/scientists to develop the next generation of Apple Foundation Models to allow our users to communicate across language barriers and perform multilingual tasks. Passionate about Natural Language Processing, Large Language Modeling (LLMs) and Machine Translation? Join us to bring the most advanced Multilingual solution across the Apple ecosystem.

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• ML Researcher, Apple Foundation Models

  Machine Learning and AI08 jun 2026

  LocationVarious Locations within New York City Metro Area

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  • ShareML Researcher, Apple Foundation Models 200664386-2621

  • Role Number:  200664386-2621
  • 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 - ML Researcher, Responsible AI

  Machine Learning and AI05 jun 2026

  LocationCupertino

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  • ShareAIML - ML Researcher, Responsible AI 200667081-0836

  • Role Number:  200667081-0836
  • Weekly Hours: 40 Hours

  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 advance 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 Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• AIML - ML Researcher, Responsible AI

  Machine Learning and AI05 jun 2026

  LocationPittsburgh

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  • ShareAIML - ML Researcher, Responsible AI 200667081-2926

  • Role Number:  200667081-2926
  • Weekly Hours: 40 Hours

  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 advance 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 Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• AIML - ML Researcher, Responsible AI

  Machine Learning and AI05 jun 2026

  LocationSeattle

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  • ShareAIML - ML Researcher, Responsible AI 200667081-3337

  • Role Number:  200667081-3337
  • Weekly Hours: 40 Hours

  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 advance 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 Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• Senior Data Scientist, Experimentation & Causal Inference

  Machine Learning and AI05 jun 2026

  LocationCupertino

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  • ShareSenior Data Scientist, Experimentation & Causal Inference 200666485-0836

  • Role Number:  200666485-0836
  • Weekly Hours: 40 Hours

  At Apple, some of the most important decisions are shaped by the quality of the evidence behind them. We are seeking a Senior Data Scientist, Experimentation & Causal Inference to help advance the scientific foundations of measurement, experimentation, and organizational learning across Apple Services. This role sits at the intersection of statistics, causal inference, experimental design, and decision-making. You will help define how success is measured, how experiments aredesigned, and how causal evidence is generated and accumulated across the organization. Beyond individual experiment...

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• Senior Data Scientist, Strategic Modeling & Simulation

  Machine Learning and AI05 jun 2026

  LocationCupertino

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  • ShareSenior Data Scientist, Strategic Modeling & Simulation 200666451-0836

  • Role Number:  200666451-0836
  • Weekly Hours: 40 Hours

  At Apple, many of the most consequential decisions are made long before products launch, features ship, or investments are approved. We are seeking a Senior Data Scientist, StrategicModeling & Simulation to help quantify the future impact of strategic decisions under uncertainty. This role combines strategic simulation, predictive modeling, machine learning, impact estimation, forecasting, and quantitative decision science to help leadership evaluate opportunities, understand trade-offs, and make better long-term investment decisions. You will develop the models that connect experimenta...

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• Sr Machine Learning Engineer, Proactive

  Machine Learning and AI04 jun 2026

  LocationSanta Clara

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  • ShareSr Machine Learning Engineer, Proactive 200661999-3760

  • Role Number:  200661999-3760
  • Weekly Hours: 40 Hours

  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!

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• Special Projects - Research Scientist/Engineer (Robotics)

  Machine Learning and AI27 may 2026

  LocationSanta Clara

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  • ShareSpecial Projects - Research Scientist/Engineer (Robotics) 200663675-3760

  • Role Number:  200663675-3760
  • Weekly Hours: 40 Hours

  We are seeking research scientists and engineers with a strong background in machine learning and robotics to drive breakthrough innovations in intelligent systems. This position requires a hands-on approach, integrating software and hardware solutions to push the boundaries of perception, control, and intelligence. You will work alongside world-class researchers and engineers, contributing to technologies that power the Apple ecosystem and publishing in top-tier scientific venues.

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• Engineering Manager, Data for Applied AI Models

  Machine Learning and AI27 may 2026

  LocationCupertino

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  • ShareEngineering Manager, Data for Applied AI Models 200648101-0836

  • Role Number:  200648101-0836
  • Weekly Hours: 40 Hours

  Join us at the forefront of redefining how people interact with their devices. On the Siri team, we’re solving the challenge of building and shipping powerful LLMs that shape the way millions of Apple customers get things done every day. As our Data lead, you will help craft the future of on-device AI by developing powerful yet compact LLMs that bring personalized, private, and low-latency experiences to users. This is a high-impact role for a hands-on technical leader who thrives at the intersection of cutting-edge AI development and product delivery.

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Machine Learning and AI27 may 2026

  LocationCupertino

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  • ShareAIML Researcher/Engineer - Foundation Model Post-Training 200662944-0836

  • Role Number:  200662944-0836
  • Weekly Hours: 40 Hours

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Machine Learning and AI27 may 2026

  LocationNew York City

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  • ShareAIML Researcher/Engineer - Foundation Model Post-Training 200662944-2459

  • Role Number:  200662944-2459
  • Weekly Hours: 40 Hours

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

  Submit Resume

• AIML Researcher/Engineer - Foundation Model Post-Training

  Machine Learning and AI27 may 2026

  LocationSeattle

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  • ShareAIML Researcher/Engineer - Foundation Model Post-Training 200662944-3337

  • Role Number:  200662944-3337
  • Weekly Hours: 40 Hours

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

  Submit Resume

• Sr. Machine Learning Research Engineer, Siri Speech

  Machine Learning and AI16 may 2026

  LocationCupertino

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  • ShareSr. Machine Learning Research Engineer, Siri Speech 200663638-0836

  • Role Number:  200663638-0836
  • Weekly Hours: 40 Hours

  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 powerful general 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! We believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at sca...

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• Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

  Machine Learning and AI14 may 2026

  LocationSanta Clara

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  • ShareSenior Machine Learning Engineer, Apple Search & Knowledge Platforms 200641779-3760

  • Role Number:  200641779-3760
  • Weekly Hours: 40 Hours

  The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge...

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• Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

  Machine Learning and AI14 may 2026

  LocationSeattle

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  • ShareSenior Machine Learning Engineer, Apple Search & Knowledge Platforms 200641779-3337

  • Role Number:  200641779-3337
  • Weekly Hours: 40 Hours

  The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge...

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• Machine Learning Architect - Conversational Speech

  Machine Learning and AI13 may 2026

  LocationCupertino

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  • ShareMachine Learning Architect - Conversational Speech 200653966-0836

  • Role Number:  200653966-0836
  • Weekly Hours: 40 Hours

  The Speech organization within Siri drives major speech recognition, synthesis, and speech-to-speech model advances for features deeply embedded throughout Apple's ecosystem. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri conversational AI, dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recognition, and multimodal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users. We are seeki...

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• Senior Search Machine Learning Engineer

  Machine Learning and AI13 may 2026

  LocationCupertino

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  • ShareSenior Search Machine Learning Engineer 200661664-0836

  • Role Number:  200661664-0836
  • Weekly Hours: 40 Hours

  Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of opportunities to build groundbreaking technologies using Machine Learning and Generative AI at scale to improve the search quality for Apple Maps.

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• Machine Learning Engineer - Health AIML

  Machine Learning and AI12 may 2026

  LocationCupertino

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  • ShareMachine Learning Engineer - Health AIML 200662966-0836

  • Role Number:  200662966-0836
  • Weekly Hours: 40 Hours

  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.

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