Scientist Jobs at Apple with Visa Sponsorship
Scientist roles at Apple sit at the intersection of fundamental research and product-defining breakthroughs, spanning materials science, machine learning, computational biology, and more. Apple sponsors a broad range of work visas for this function and has an established track record of supporting international scientists through the full immigration process.
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Get Access To All JobsWe’re idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining our team! The Applications team is looking for an outstanding Applied AI Scientist who will strengthen our team’s capabilities in statistical modeling, machine learning, and foundational AI development. This role will drive innovation in building scalable ML and AI solutions that enhance our product intelligence, improve automation, and expand our AI-driven capabilities across business domains.
Description
The Applied AI Scientist will work on designing, developing, and implementing sophisticated machine learning and AI models to solve complex problems, particularly for creative applications like our video editing apps. The role involves building end-to-end ML pipelines, prototyping novel AI-powered features, developing AI tools, and collaborating closely with engineering, product, and marketing partners to bring intelligent solutions into production. The ideal candidate combines deep technical expertise in machine learning, statistical modeling, and AI framework development with strong problem-solving and interpersonal skills, ensuring effective collaboration and measurable impact in a fast-paced environment.
Minimum Qualifications
PhD in Computer Science, Statistics, Mathematics, or a related quantitative field with 3+ years of relevant experience; or MS with 5+ years of experience in applied AI, machine learning, or statistical modeling.
3+ years of programming proficiency with Python for data science and AI (e.g., Pandas, Scikit-learn, NumPy).
3+ years of hands-on experience applying statistical modeling and machine learning algorithms for supervised and unsupervised learning (classification, regression, clustering, etc.).
3+ years of experience working with large-scale data and distributed systems (e.g., Hadoop, Spark).
Working familiarity with deep learning algorithms (CNN, RNN, Transformers) and frameworks (TensorFlow, PyTorch).
Working familiarity with causal inference models and techniques.
Hands-on experience deploying AI/ML models into a production environment.
Experience with rapid prototyping, reproduction, and validation of research ideas.
Experience developing or contributing to AI frameworks, APIs, or internal tools used by other teams.
Excellent analytical, communication, and collaboration skills across multi-functional teams.
Preferred Qualifications
Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
Familiarity with generative AI techniques (e.g., diffusion models).
Knowledge of computer vision (CV), multimodal models, and video generation/understanding, and their application in video or image analysis.
Experience building scalable AI/ML systems using cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., SageMaker, Vertex AI, MLflow).
Experience applying statistical and ML techniques to analyze user behavior, content usage, conduct feature analytics, and derive product insights.
Hands-on experience with production model monitoring, including tracking data/model drift and running diagnostics.
Proven ability to translate complex research ideas into scalable, production-level AI solutions.
Strong software engineering practices, including version control, testing, and code review.
Familiarity with cross-domain applications of AI/ML (e.g., marketing analytics, personalization, recommendation systems).
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 $171,600 and $302,200, 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.
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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
We’re idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining our team! The Applications team is looking for an outstanding Applied AI Scientist who will strengthen our team’s capabilities in statistical modeling, machine learning, and foundational AI development. This role will drive innovation in building scalable ML and AI solutions that enhance our product intelligence, improve automation, and expand our AI-driven capabilities across business domains.
Description
The Applied AI Scientist will work on designing, developing, and implementing sophisticated machine learning and AI models to solve complex problems, particularly for creative applications like our video editing apps. The role involves building end-to-end ML pipelines, prototyping novel AI-powered features, developing AI tools, and collaborating closely with engineering, product, and marketing partners to bring intelligent solutions into production. The ideal candidate combines deep technical expertise in machine learning, statistical modeling, and AI framework development with strong problem-solving and interpersonal skills, ensuring effective collaboration and measurable impact in a fast-paced environment.
Minimum Qualifications
PhD in Computer Science, Statistics, Mathematics, or a related quantitative field with 3+ years of relevant experience; or MS with 5+ years of experience in applied AI, machine learning, or statistical modeling.
3+ years of programming proficiency with Python for data science and AI (e.g., Pandas, Scikit-learn, NumPy).
3+ years of hands-on experience applying statistical modeling and machine learning algorithms for supervised and unsupervised learning (classification, regression, clustering, etc.).
3+ years of experience working with large-scale data and distributed systems (e.g., Hadoop, Spark).
Working familiarity with deep learning algorithms (CNN, RNN, Transformers) and frameworks (TensorFlow, PyTorch).
Working familiarity with causal inference models and techniques.
Hands-on experience deploying AI/ML models into a production environment.
Experience with rapid prototyping, reproduction, and validation of research ideas.
Experience developing or contributing to AI frameworks, APIs, or internal tools used by other teams.
Excellent analytical, communication, and collaboration skills across multi-functional teams.
Preferred Qualifications
Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
Familiarity with generative AI techniques (e.g., diffusion models).
Knowledge of computer vision (CV), multimodal models, and video generation/understanding, and their application in video or image analysis.
Experience building scalable AI/ML systems using cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., SageMaker, Vertex AI, MLflow).
Experience applying statistical and ML techniques to analyze user behavior, content usage, conduct feature analytics, and derive product insights.
Hands-on experience with production model monitoring, including tracking data/model drift and running diagnostics.
Proven ability to translate complex research ideas into scalable, production-level AI solutions.
Strong software engineering practices, including version control, testing, and code review.
Familiarity with cross-domain applications of AI/ML (e.g., marketing analytics, personalization, recommendation systems).
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 $171,600 and $302,200, 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.
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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Get Access To All JobsTips for Finding Scientist Jobs at Apple Jobs
Align your research to Apple's product pipeline
Apple's scientists work on applied problems tied to real hardware and software releases. Framing your research background around areas like sensing, silicon design, health technology, or on-device machine learning signals direct product relevance, which matters in screening.
Target teams through Apple's research publications
Apple Research publishes papers across machine learning, privacy, and computational imaging. Identifying the specific authors and teams behind work that matches your expertise helps you target the right internal group rather than applying blindly through general job postings.
Prepare your publication record before applying
Apple's hiring bar for Scientist roles is heavily credential-driven. Organize your CV with a clear publication list, patent contributions, and citations before you apply. Gaps or poorly formatted research histories slow the initial review at a company that processes high applicant volumes.
Understand which visa category fits your timeline
Apple sponsors H-1B, E-3, TN, and H-1B1 visas, each with different processing windows. If your OPT or current status expires within six months of your expected start date, confirm with Apple's immigration team early so your petition is filed before a gap in work authorization opens.
Confirm PERM eligibility early for Green Card conversations
For Scientist roles, Apple often initiates PERM-based Green Card sponsorship under EB-2 or EB-3. DOL requires a full recruitment process before PERM is filed, so start that conversation at the offer stage rather than after you've already joined and are approaching H-1B renewal deadlines.
Use Migrate Mate to find actively hiring teams
Not all open Scientist postings at Apple signal active visa sponsorship willingness at the same level. Use Migrate Mate to filter Apple's current openings by visa type so you're spending time on roles where sponsorship is already part of the hiring plan.
Scientist at Apple jobs are hiring across the US. Find yours.
Find Scientist at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for Scientists?
Yes, Apple sponsors H-1B visas for Scientist roles and has a well-established process for doing so. Apple's immigration team works with external counsel to prepare H-1B petitions, handle Labor Condition Application filings with the DOL, and manage cap-subject lottery registrations for new hires who require them. If you're already in H-1B status with another employer, Apple can file an H-1B transfer, which allows you to start work once the petition is received by USCIS.
What visa types does Apple commonly sponsor for Scientist roles?
Apple sponsors H-1B, H-1B1 for Chilean and Singaporean nationals, E-3 for Australian citizens, and TN status for Canadian and Mexican professionals in qualifying scientific categories. For longer-term sponsorship, Apple supports EB-2 and EB-3 Green Card pathways through the PERM labor certification process. F-1 students on OPT and CPT are also hired for Scientist roles, including full-time positions that transition into H-1B sponsorship after the cap lottery.
What qualifications does Apple expect for Scientist positions?
Most Scientist roles at Apple require a PhD in a relevant field such as electrical engineering, computer science, physics, materials science, or a related discipline. Applied research experience, a strong publication record, and demonstrated ability to translate research into product outcomes carry significant weight. Some roles in areas like machine learning or computational health accept candidates with a master's degree plus substantial industry research experience, but a doctorate is the standard expectation for a Scientist title.
How do I apply for Scientist jobs at Apple?
Applications go through Apple's careers site, where Scientist postings include details on the team and research focus area. Tailoring your materials to the specific domain listed in the job description matters more than a generic application. If you want to target roles where visa sponsorship is confirmed upfront, browse Scientist openings at Apple on Migrate Mate, which filters listings by the visa types the employer actively sponsors, so you're not discovering late in the process that your situation isn't supported.
How do I plan my timeline if I need visa sponsorship for an Apple Scientist role?
The critical variable is which visa category applies to your situation. E-3 and TN processing can happen within a few weeks for applicants going through consular processing. H-1B cap-subject petitions are tied to the April lottery and an October 1 start date, meaning a role accepted in late 2025 may not allow you to start until October 2026. H-1B transfers for candidates already in status can begin on the petition receipt date. Start conversations with Apple's recruiting team about your immigration status as early as the final interview stage.
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