Machine Learning Intern Jobs in Cupertino, CA
Machine Learning Intern jobs in Cupertino are in strong demand, concentrated in the Main Street corridor, Vallco area, and the broader De Anza Boulevard tech corridor across consumer electronics, cloud infrastructure, and AI research. Employers hiring right now include Apple, Amazon Web Services, and HiringCafe. Find a role that fits below and apply directly.
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Join the team redefining what a deeply personal and integrated assistant can be.
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
Join the SCALE (Statistical Coverage and Large-scale Evaluation) team at Apple and contribute to a highly accomplished group that evaluates Siri and AI/ML models at scale to delight and inspire our users globally. If you are excited by large-scale systems, rigorous statistical evaluation, natural language understanding, and shaping the future of AI, we want you here! You’ll do more than join something, you’ll add something!
Description
We are seeking a highly skilled Senior Machine Learning Engineer specializing in Conversational AI. Our goal is to deliver offline evaluation insights that drive model development and improve the end-user experience, all while upholding Apple's strict privacy standards.
In this pivotal role, you will collaborate with cross-functional teams to curate and evolve high-quality evaluation datasets for state-of-the-art models. With the advent of Apple Intelligence, you will tackle novel challenges in evaluating highly personalized user experiences.
Responsibilities
Your key focus will be leveraging Large Language Models (LLMs) to automatically evaluate model changes (LLM-as-a-Judge) and assess the naturalness of digital assistant conversations.
You will also harness generative AI to create adversarial scenarios that anticipate edge cases, enabling robust, forward-looking evaluation.
Your work, and the datasets you generate, will directly shape the next generation of Siri and Apple products.
Minimum Qualifications
- 7+ years of professional experience applying machine learning to real-world problems and crafting scalable data solutions, specifically in natural language products.
- Proven experience managing large-scale datasets for ML training and/or evaluation.
- Excellent programming skills in Python.
- MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field.
Preferred Qualifications
- Deep domain knowledge in Conversational AI and a strong understanding of the end-to-end ML product lifecycle.
- Expertise in defining and measuring evaluation coverage for Large Language Models (LLMs) and agentic systems.
- Track record of delivering large-scale, cross-functional ML product or platform outcomes.
- Excellent problem-solving, critical thinking, and communication skills to drive alignment across teams.
- Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.
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 $184,700 and $324,800, 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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Find Machine Learning Intern JobsMachine Learning Intern Job Market in Cupertino
Who's Hiring
- Apple676

- Amazon Web Services130

- HiringCafe9
Top Industries Hiring
- Electronics & Hardware321
- Distribution & Wholesale61
- Banking & Financial Services52
- Technology & Software26
- Construction & Real Estate17
Machine Learning Intern Jobs in Cupertino: Frequently Asked Questions
How do I get a machine learning intern job in Cupertino?
The most direct path is targeting Cupertino's consumer electronics and silicon design companies, which run structured intern programs tied to university recruiting cycles. Roles concentrate along De Anza Boulevard and the Tantau Avenue corridor. Candidates who stand out typically bring Python or PyTorch project work, a strong GitHub portfolio, and familiarity with on-device or edge inference, which reflects the hardware-adjacent ML work common to Cupertino employers.
Which companies hire machine learning interns in Cupertino?
Employers hiring machine learning interns in Cupertino right now include Apple, Amazon Web Services, and HiringCafe, based on current listings on Migrate Mate as of September 2026. Cupertino's employer base leans heavily toward large consumer technology firms and their direct suppliers, alongside smaller AI-focused startups that have clustered near the city's established tech campuses.
Are there remote machine learning intern jobs in Cupertino?
Yes, though it depends on the role: research and data-pipeline work tends to be remote-friendly, while hardware-integrated or lab-based ML positions almost always require on-site presence. About 0% of machine learning intern openings tied to Cupertino are remote or hybrid as of September 2026, reflecting the mix of desk-based modeling work and hands-on prototyping common in the area. Analytical and NLP-focused roles are the most likely to offer flexible arrangements.
How can I get a machine learning intern job in Cupertino with little or no experience?
The most realistic entry path is through project-based applications: Cupertino employers, including larger consumer tech firms and nearby De Anza College research partnerships, regularly consider candidates who demonstrate applied work through class projects, Kaggle competitions, or open-source contributions. Lateral entry roles like data labeling analyst or ML QA intern are common stepping stones at Cupertino's mid-size AI vendors, and they frequently convert to core ML intern positions within the same team.
Which industries hire the most machine learning interns in Cupertino?
The sectors hiring the most machine learning interns in Cupertino are Electronics & Hardware, Distribution & Wholesale, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. Cupertino's identity as a consumer electronics hub means these sectors are deeply intertwined, with ML intern work often sitting at the intersection of hardware optimization, computer vision, and on-device AI development.
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