Machine Learning Manager Jobs in Cupertino, CA
Machine Learning Manager jobs in Cupertino are in strong demand, concentrated in the Main Street corridor, the Vallco area, and the North De Anza Boulevard tech cluster across consumer electronics, cloud infrastructure, and enterprise AI. Employers posting openings right now include Apple, Amazon Web Services, and HiringCafe. See the openings below and apply to the ones that match your experience.
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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 Manager JobsMachine Learning Manager Job Market in Cupertino
Who's Hiring
- Apple679

- Amazon Web Services143

- HiringCafe8
Top Industries Hiring
- Electronics & Hardware310
- Distribution & Wholesale59
- Banking & Financial Services50
- Technology & Software25
- Construction & Real Estate17
Machine Learning Manager Jobs in Cupertino: Frequently Asked Questions
How do I get a machine learning manager job in Cupertino?
Focus your search on Cupertino's consumer electronics and cloud platform companies, which drive the bulk of local demand, and on the enterprise AI and chip design firms clustered along De Anza Boulevard and in the Vallco district. Candidates who can show experience leading teams that ship production ML systems, not just research prototypes, stand out. Familiarity with on-device or edge inference is a concrete advantage in this market.
Which companies hire machine learning managers in Cupertino?
Cupertino machine learning manager roles are posted by Apple, Amazon Web Services, and HiringCafe and others right now, based on current listings on Migrate Mate as of September 2026. Cupertino's employer base skews heavily toward large consumer technology companies and the semiconductor and platform teams that support them.
Are there remote machine learning manager jobs in Cupertino?
Yes, though with limits, since most machine learning manager roles in Cupertino involve close collaboration with engineering and product teams that prefer regular on-site presence. About 0% of machine learning manager openings tied to Cupertino are remote or hybrid as of September 2026, with hybrid arrangements more common than fully remote. Strategy and planning work tends to flex remotely, while model review, cross-functional roadmap sessions, and hardware-adjacent projects typically require in-person attendance.
How can I get a machine learning manager job in Cupertino with little or no experience?
The most realistic path is moving into a team-lead or tech-lead role at one of Cupertino's mid-size AI or platform teams before stepping into a formal manager title. Companies in the Vallco corridor and along De Anza often promote senior ML engineers who demonstrate cross-functional ownership. Building visibility through internal hackathons, driving a shipped feature end-to-end, or managing an intern cohort are concrete steps local employers treat as management readiness signals.
Which industries hire the most machine learning managers in Cupertino?
The sectors hiring the most machine learning managers in Cupertino are Electronics & Hardware, Distribution & Wholesale, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. Cupertino's concentration of consumer device and cloud platform headquarters means demand is especially deep in teams building on-device intelligence, recommendation systems, and large-scale data infrastructure.
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