ML Engineer Jobs at Apple with Visa Sponsorship
ML Engineer jobs at Apple sit at the intersection of hardware and intelligence, spanning on-device inference, Core ML, and large-scale training infrastructure. Apple sponsors across multiple visa categories for this function, making it a realistic target if you're an international candidate with a strong machine learning background.
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Get Access To All JobsDo you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that’s constantly learning and having fun while solving tough business problems? We’d love to talk to you if you do!
Join the Applied Data Solutions Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You’ll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science. You will work with teams across Apple, using data analysis and predictive modeling techniques, to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers. The enormous scale and complexity of the problems and our data present exciting opportunities for pushing the limits of existing data science methods.
Description
The ADSP provides entry-level talent with practical work experience through project-based rotations on various teams within Finance. Upon completion, ADSPs move into non-rotating technical roles within Apple. We have a variety of opportunities for software engineers, data scientists, and machine learning engineers. Responsibilities may include:
-
Support our business partners and optimizes the customer experience by delivering data-driven solutions that mitigate fraud, improve security, and optimize efficiency.
-
Work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of scalable, easy-to-use systems and tools.
-
Engage with stakeholders to translate ambiguous business problems into technical solutions, including finding opportunities, breaking them into solvable segments, defining requirements, assessing level of effort, etc.
-
Work cooperatively to design data science-driven solutions, balancing the utility of tried-and-true techniques and the benefits of custom solutions.
-
Develop self-service tools and automation to improve data engineering efficiency and self-service analytics.
-
Create reporting and monitor decisioning quality to maintain operational and business metric health.
-
Translate ambiguous business problems into technical solutions by working collaboratively with business partners.
-
Develop, deploy, and operationally support machine-learning models that take real-time and forensic action against a variety of threats to Apple’s ecosystem.
-
Apply data science to core finance processes to automate and elevate capability, forecasting, accruals, accounting entries prep, IA process, risk mitigation, etc.
Minimum Qualifications
Undergraduate or graduate degree in Computer Science, Data Science, Data Analytics, Machine Learning or related field.
Proficient in at least one programming language (Python/Scala/Java preferred).
Practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions.
Practical experience (acquired through work, independent projects, or academic research) with implementing data science-related applications in a programming language such as Python, Scala, or Java.
Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions.
Previous Apple FDP or ADSP internship is required.
Preferred Qualifications
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.
Experience with ML platform provisioning and optimization (e.g., Dataiku, Ray, GPU-based training environments).
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.
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 $129,300 and $194,700, 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.
Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that’s constantly learning and having fun while solving tough business problems? We’d love to talk to you if you do!
Join the Applied Data Solutions Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You’ll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science. You will work with teams across Apple, using data analysis and predictive modeling techniques, to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers. The enormous scale and complexity of the problems and our data present exciting opportunities for pushing the limits of existing data science methods.
Description
The ADSP provides entry-level talent with practical work experience through project-based rotations on various teams within Finance. Upon completion, ADSPs move into non-rotating technical roles within Apple. We have a variety of opportunities for software engineers, data scientists, and machine learning engineers. Responsibilities may include:
-
Support our business partners and optimizes the customer experience by delivering data-driven solutions that mitigate fraud, improve security, and optimize efficiency.
-
Work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of scalable, easy-to-use systems and tools.
-
Engage with stakeholders to translate ambiguous business problems into technical solutions, including finding opportunities, breaking them into solvable segments, defining requirements, assessing level of effort, etc.
-
Work cooperatively to design data science-driven solutions, balancing the utility of tried-and-true techniques and the benefits of custom solutions.
-
Develop self-service tools and automation to improve data engineering efficiency and self-service analytics.
-
Create reporting and monitor decisioning quality to maintain operational and business metric health.
-
Translate ambiguous business problems into technical solutions by working collaboratively with business partners.
-
Develop, deploy, and operationally support machine-learning models that take real-time and forensic action against a variety of threats to Apple’s ecosystem.
-
Apply data science to core finance processes to automate and elevate capability, forecasting, accruals, accounting entries prep, IA process, risk mitigation, etc.
Minimum Qualifications
Undergraduate or graduate degree in Computer Science, Data Science, Data Analytics, Machine Learning or related field.
Proficient in at least one programming language (Python/Scala/Java preferred).
Practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions.
Practical experience (acquired through work, independent projects, or academic research) with implementing data science-related applications in a programming language such as Python, Scala, or Java.
Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions.
Previous Apple FDP or ADSP internship is required.
Preferred Qualifications
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.
Experience with ML platform provisioning and optimization (e.g., Dataiku, Ray, GPU-based training environments).
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.
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 $129,300 and $194,700, 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.
See all 310+ ML Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer Jobs at Apple.
Get Access To All JobsTips for Finding ML Engineer Jobs at Apple
Align your portfolio to Apple's ML stack
Apple prioritizes on-device ML, neural engine optimization, and privacy-preserving inference. Before applying, reframe your project work around model compression, Core ML deployment, or federated learning rather than cloud-scale training pipelines.
Target teams filing Labor Condition Applications early
Apple's LCA filings with DOL reveal which teams are actively hiring internationally. Search OFLC disclosure data by employer and job title to identify which ML specializations Apple is sponsoring right now, then target those specific roles.
Distinguish your visa pathway before the offer stage
Apple sponsors H-1B, E-3, TN, and H-1B1 visa, each with different timelines and filing windows. Know which category applies to your citizenship before you receive an offer so you can negotiate a realistic start date with the recruiting team.
Front-load your USCIS petition documentation
For ML Engineer roles, Apple's immigration team will need evidence that the position requires a degree in a specific field. Gather transcripts, your degree certificate, and any credential evaluations before your offer letter arrives to avoid delays in the I-129 filing.
Use Migrate Mate to filter Apple ML Engineer openings by visa type
Sponsored ML Engineer roles at Apple don't always surface easily on general job boards. Use Migrate Mate to filter Apple's open positions by the visa category that matches your status, saving you from applying to roles where sponsorship isn't available.
Flag OPT STEM extension eligibility during the offer negotiation
If you're on F-1 OPT, Apple's size and E-Verify enrollment make it a qualifying employer for the 24-month STEM extension. Confirming this during the offer stage gives you up to three years of runway before your H-1B lottery selection becomes urgent.
Frequently Asked Questions
Does Apple sponsor H-1B visas for ML Engineers?
Yes, Apple sponsors H-1B visas for ML Engineers and has a well-established immigration program to support international hires in this function. Apple participates in the annual H-1B lottery each April for cap-subject candidates. If you're already in H-1B visa status with another employer, Apple can file an H-1B transfer, letting you start work as soon as USCIS receives the petition.
How do I apply for ML Engineer jobs at Apple?
Apply directly through Apple's careers site, targeting ML Engineer roles by team, such as Core ML, Siri, or Silicon Engineering. Tailor your resume to Apple's on-device and privacy-focused ML priorities rather than general deep learning experience. Migrate Mate lists Apple's open ML Engineer positions filtered by visa sponsorship type, which makes it easier to find roles aligned with your specific status before applying.
Which visa types does Apple commonly use for ML Engineers?
Apple sponsors H-1B for most international ML Engineers and also files for H-1B1 visa (Chilean and Singaporean nationals), E-3 visa (Australian nationals), and TN visa (Canadian and Mexican nationals). Green Card sponsorship through EB-2 or EB-3 PERM is also available for longer-tenured employees. F-1 OPT and CPT are supported for students and recent graduates in qualifying programs.
What qualifications does Apple expect for ML Engineer roles?
Apple's ML Engineer postings consistently require a bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field, which directly supports the H-1B specialty occupation standard. Beyond credentials, Apple looks for hands-on experience with model optimization for constrained hardware, proficiency in frameworks like PyTorch or JAX, and familiarity with low-latency inference requirements common in consumer device contexts.
How do I think about the timeline from offer to start date as an international ML Engineer candidate at Apple?
Timeline depends heavily on your visa category. E-3 and TN candidates can often start within four to six weeks of an offer if the Labor Condition Application is filed promptly with DOL. H-1B candidates without existing status must wait for an approved lottery selection, which runs on a federal fiscal year cycle starting October 1. Premium processing with USCIS is available and reduces H-1B adjudication to 15 business days once filed.