Machine Learning Research Jobs in Cupertino, CA
Machine learning research jobs in Cupertino are in high demand, concentrated in the Main Street corridor, Vallco district, and along the North De Anza Boulevard tech corridor, across consumer electronics, AI infrastructure, and enterprise software. Employers hiring right now include Apple. Scan the live roles below and apply to whichever ones fit.
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The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for quality and performance.
The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple's unique integration of hardware, software, and services, engineers here work with a single unified vision of deep commitment to strengthening Apple's core principles such as customer focus, privacy, and relentless innovation. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and cross-functional, offering an opportunity to work with passionate people, contribute ideas, and ship innovative software. Here, you'll do more than just join a team; you'll be making a positive impact on people's lives.
Description
The ASE Search team is a vital part of the Apple ecosystem, powering search for App Store, Apple Music, Apple TV, Podcasts, Books, Fitness+, iTunes, and more, across a wide set of platforms including iOS, macOS, tvOS, watchOS, visionOS, Safari, and third-party devices. Driven by a passion for the extraordinary rather than the easy, our team of problem solvers is dedicated to helping users discover media and content in exciting new ways, and we're looking for motivated engineers and researchers to join us on this journey.
As a Machine Learning Researcher/Engineer on the ASE Search team, you will help design and develop next-generation search and conversational discovery features for Apple's groundbreaking devices and platforms. ","responsibilities":"Contribute to building experiences that shape how people search and discover on Apple devices worldwide.
Build and improve ML models and systems across surface areas such as retrieval, ranking, query understanding, and document understanding.
Develop and iterate on ML models end-to-end, from data preparation and training through evaluation and production deployment, including backend components using languages such as Go, Java, Python, and Scala.
Stay current with research in search, information retrieval, and generative AI, and apply new techniques to improve our systems.
Collaborate with engineers, researchers, and product teams to understand requirements and deliver high-quality solutions.
Design and run A/B experiments, and contribute to automated testing, monitoring, and alerting to measure and maintain the health of production systems.
Present technical work to the team and participate in design and code reviews.
Preferred Qualifications
Ph.D. in Computer Science or a related subject area.
4+ years of relevant industry experience in ML or data systems.
Experience building search or conversational capabilities such as query understanding, retrieval, ranking, indexing, autocomplete, or intent resolution.
Familiarity with big data pipelines using Scala, Python, or Apache Spark.
Exposure to distributed backend services, Kubernetes, cloud infrastructure, or container orchestration.
Experience with GoLang or gRPC services.
Familiarity with A/B experimentation and data-driven product development.
Minimum Qualifications
MS in Computer Science or a related subject area.
2+ years of relevant industry experience in ML or data systems.
Knowledge of generative AI systems, including Large Language Models, Transformers, and techniques such as RAG and fine-tuning.
Experience with one or more ML frameworks such as PyTorch or TensorFlow; familiarity with distributed training or inference tooling (e.g., Ray, TensorRT, vLLM) is a plus.
Familiarity with search, recommendation systems, conversational engines, or related domains.
Strong communication skills and the ability to work effectively in a collaborative team environment.
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 $150,400 and $277,600, 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.
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for quality and performance.
The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple's unique integration of hardware, software, and services, engineers here work with a single unified vision of deep commitment to strengthening Apple's core principles such as customer focus, privacy, and relentless innovation. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and cross-functional, offering an opportunity to work with passionate people, contribute ideas, and ship innovative software. Here, you'll do more than just join a team; you'll be making a positive impact on people's lives.
Description
The ASE Search team is a vital part of the Apple ecosystem, powering search for App Store, Apple Music, Apple TV, Podcasts, Books, Fitness+, iTunes, and more, across a wide set of platforms including iOS, macOS, tvOS, watchOS, visionOS, Safari, and third-party devices. Driven by a passion for the extraordinary rather than the easy, our team of problem solvers is dedicated to helping users discover media and content in exciting new ways, and we're looking for motivated engineers and researchers to join us on this journey.
As a Machine Learning Researcher/Engineer on the ASE Search team, you will help design and develop next-generation search and conversational discovery features for Apple's groundbreaking devices and platforms. ","responsibilities":"Contribute to building experiences that shape how people search and discover on Apple devices worldwide.
Build and improve ML models and systems across surface areas such as retrieval, ranking, query understanding, and document understanding.
Develop and iterate on ML models end-to-end, from data preparation and training through evaluation and production deployment, including backend components using languages such as Go, Java, Python, and Scala.
Stay current with research in search, information retrieval, and generative AI, and apply new techniques to improve our systems.
Collaborate with engineers, researchers, and product teams to understand requirements and deliver high-quality solutions.
Design and run A/B experiments, and contribute to automated testing, monitoring, and alerting to measure and maintain the health of production systems.
Present technical work to the team and participate in design and code reviews.
Preferred Qualifications
Ph.D. in Computer Science or a related subject area.
4+ years of relevant industry experience in ML or data systems.
Experience building search or conversational capabilities such as query understanding, retrieval, ranking, indexing, autocomplete, or intent resolution.
Familiarity with big data pipelines using Scala, Python, or Apache Spark.
Exposure to distributed backend services, Kubernetes, cloud infrastructure, or container orchestration.
Experience with GoLang or gRPC services.
Familiarity with A/B experimentation and data-driven product development.
Minimum Qualifications
MS in Computer Science or a related subject area.
2+ years of relevant industry experience in ML or data systems.
Knowledge of generative AI systems, including Large Language Models, Transformers, and techniques such as RAG and fine-tuning.
Experience with one or more ML frameworks such as PyTorch or TensorFlow; familiarity with distributed training or inference tooling (e.g., Ray, TensorRT, vLLM) is a plus.
Familiarity with search, recommendation systems, conversational engines, or related domains.
Strong communication skills and the ability to work effectively in a collaborative team environment.
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 $150,400 and $277,600, 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.
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Who's Hiring
Top Industries Hiring
- Electronics & Hardware
- Banking & Financial Services
Machine Learning Research Jobs in Cupertino: Frequently Asked Questions
How do I get a machine learning research job in Cupertino?
The clearest path is targeting Cupertino's consumer electronics and AI product companies, which hire machine learning researchers to work on on-device intelligence, computer vision, and recommendation systems. Candidates who can show published research, open-source contributions, or experience with large-scale model training stand out in this market. Familiarity with hardware-constrained ML, common in Cupertino's product-focused teams, is a genuine edge over applicants with only cloud-scale backgrounds.
Which companies hire machine learning researchs in Cupertino?
Cupertino machine learning research roles are posted by Apple and others right now, based on current listings on Migrate Mate as of September 2026. Hiring is concentrated among large consumer technology companies and the specialized AI research labs and hardware-software integration teams that have grown up around them in Cupertino.
Are there remote machine learning research jobs in Cupertino?
Yes, though with limits, since machine learning research in Cupertino often involves access to proprietary hardware, specialized compute clusters, or close collaboration with product and chip design teams. About 0% of machine learning research openings tied to Cupertino are remote or hybrid as of September 2026, with hybrid arrangements more common than fully remote. Purely analytical or modeling work, such as evaluation frameworks and benchmark development, tends to be the most remote-compatible portion of these roles.
How can I get a machine learning research job in Cupertino with little or no experience?
The most realistic entry path in Cupertino is through a research internship or university collaboration program at one of the area's large technology companies, which recruit graduate students and recent PhD graduates directly into exploratory research tracks. Entry-level roles here typically carry titles like research associate or junior research engineer, and they often require a strong graduate thesis or a portfolio of independent projects in areas like neural architecture, on-device inference, or generative modeling. Cupertino employers weight demonstrated research output heavily even at the entry level.
Which industries hire the most machine learning researchs in Cupertino?
Cupertino machine learning research roles concentrate in Electronics & Hardware and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. Cupertino's identity as a consumer electronics and integrated hardware-software hub means most of that hiring is tied to building intelligence directly into products, from voice and vision systems to predictive on-device features, rather than to cloud platforms or enterprise SaaS.
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