Machine Learning Scientist Jobs at Apple with Visa Sponsorship
Apple builds some of its most consequential research teams around Machine Learning Scientists, with roles spanning on-device intelligence, natural language processing, and computer vision. Apple has a well-established sponsorship track record for this function and supports multiple visa pathways for international candidates.
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Get Access To All JobsINTRODUCTION
The Speech Team within the Siri organization drives major speech recognition, synthesis and speech to speech model changes for various 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 various speech enabled Apple Intelligence features with powerful capabilities across natural language understanding, dialog generation, speech 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 scale. We develop speech to speech experiences and the underlying multimodal foundation model technology for current and future speech-enabled features across Apple’s software, hardware, and services ecosystem. This allows for cutting edge applied research anchored in Apple specific production needs, while improving speech interaction experiences for Apple’s customers around the world.
DESCRIPTION
You will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models - ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. You’ll help us advance the state of the art in natural language processing, speech and audio modeling, and multi-modal learning, with a strong focus on bringing your innovations into production. Your ideas will directly impact the daily lives of billions of users through Siri.
MINIMUM QUALIFICATIONS
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Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
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Proficient programming skills in Python and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow
PREFERRED QUALIFICATIONS
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Bachelor's, Master's, or PhD in Computer Science or other related discipline
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Experience with conversational AI or multimodal LLM
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Experience with large scale machine learning training/evaluation
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Data-centric vision about foundation model
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $162,500 and $286,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
INTRODUCTION
The Speech Team within the Siri organization drives major speech recognition, synthesis and speech to speech model changes for various 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 various speech enabled Apple Intelligence features with powerful capabilities across natural language understanding, dialog generation, speech 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 scale. We develop speech to speech experiences and the underlying multimodal foundation model technology for current and future speech-enabled features across Apple’s software, hardware, and services ecosystem. This allows for cutting edge applied research anchored in Apple specific production needs, while improving speech interaction experiences for Apple’s customers around the world.
DESCRIPTION
You will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models - ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. You’ll help us advance the state of the art in natural language processing, speech and audio modeling, and multi-modal learning, with a strong focus on bringing your innovations into production. Your ideas will directly impact the daily lives of billions of users through Siri.
MINIMUM QUALIFICATIONS
-
Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
-
Proficient programming skills in Python and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow
PREFERRED QUALIFICATIONS
-
Bachelor's, Master's, or PhD in Computer Science or other related discipline
-
Experience with conversational AI or multimodal LLM
-
Experience with large scale machine learning training/evaluation
-
Data-centric vision about foundation model
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $162,500 and $286,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
See all 46+ Machine Learning Scientist at Apple jobs
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Get Access To All JobsTips for Finding Machine Learning Scientist Jobs at Apple Jobs
Align your research portfolio to Apple's ML focus areas
Apple prioritizes on-device ML, privacy-preserving machine learning, and neural engine optimization. Tailoring your published work, GitHub projects, or patents to these areas signals fit before your resume reaches a recruiter.
Target teams through Apple's research publication record
Apple ML researchers publish under groups like Siri, Core ML, and Vision. Identifying specific teams via their public papers helps you name the right organization in your application and network toward the right hiring manager.
Prepare a degree equivalency letter if your credential is non-U.S.
For H-1B specialty occupation petitions, USCIS scrutinizes foreign degree equivalency. Having a credential evaluation from a NACES-member organization ready before offer stage avoids delays once Apple's immigration counsel begins the I-129 filing.
Use Migrate Mate to filter open Machine Learning Scientist roles by visa type
Sponsorship eligibility varies by role and team even within Apple. Use Migrate Mate to surface active postings filtered to your specific visa category so you're applying to positions Apple is actively sponsoring for that function.
Request a start date that accommodates DOL and USCIS timelines
Once Apple's legal team initiates the H-1B process, the Labor Condition Application must clear DOL before the I-129 is filed with USCIS. Negotiating a start date at least 90 days out reduces the risk of a gap in work authorization.
Machine Learning Scientist at Apple jobs are hiring across the US. Find yours.
Find Machine Learning Scientist at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for Machine Learning Scientists?
Yes, Apple sponsors H-1B visas for Machine Learning Scientists. The company works with in-house immigration counsel to manage LCA filings with the DOL and I-129 petitions with USCIS. Because Machine Learning Scientist roles qualify as specialty occupations requiring at minimum a bachelor's degree in a directly related field like computer science or statistics, they're well-suited for H-1B sponsorship.
How do I apply for Machine Learning Scientist jobs at Apple?
Applications go through Apple's careers portal at jobs.apple.com. Roles are listed under Research and Machine Learning or within specific product organizations like Siri, Core ML, or Health. You can also find and filter open Machine Learning Scientist positions at Apple by visa type on Migrate Mate, which surfaces active sponsorship-eligible postings in one place.
Which visa types does Apple commonly sponsor for Machine Learning Scientist roles?
Apple sponsors H-1B and H-1B1 visas for most international candidates in this function. Australian citizens are eligible for the E-3 visa, which has no lottery and is processed separately from the H-1B cap. Canadian and Mexican nationals may qualify under TN status. F-1 OPT and CPT are also supported for students in qualifying programs, and Apple files EB-2 and EB-3 petitions for permanent residence.
What qualifications does Apple expect for Machine Learning Scientist roles?
Most Machine Learning Scientist postings at Apple require a PhD or a master's degree with substantial research experience in machine learning, computer science, or a closely related quantitative field. Apple's teams value publication records, experience with large-scale model training, and proficiency in frameworks like PyTorch or JAX. Roles focused on on-device ML also expect familiarity with model compression, quantization, or neural architecture search.
How do I estimate the timeline from offer to work authorization at Apple?
After accepting an offer, Apple's immigration team typically initiates the LCA filing with DOL, which takes around seven business days under standard processing. The I-129 H-1B petition then goes to USCIS. Standard processing takes several months, but premium processing reduces USCIS adjudication to 15 business days. For E-3 applicants, consular processing in Australia can move faster. Plan on at least 60 to 90 days from offer to start date for most pathways.
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