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Apple Artificial Intelligence Jobs (NOW HIRING)

Preferred Qualifications Understanding of the transformative impact of artificial intelligence on ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Our team works on a search platform that powers features that incorporate search into Apple ... Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or ...

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Apple Artificial Intelligence information

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$23.5K

$118.1K

$216K

How much do apple artificial intelligence jobs pay per year?

As of Aug 17, 2026, the average yearly pay for apple artificial intelligence in the United States is $118,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is an Apple Artificial Intelligence?

An Apple Artificial Intelligence job involves developing and optimizing AI-powered technologies for Apple's products and services. Professionals in this role work on machine learning models, natural language processing, computer vision, and other AI-driven applications. They collaborate with engineers, researchers, and product teams to enhance user experiences across Apple’s ecosystem, including iPhones, iPads, Macs, and software like Siri. These roles require expertise in AI, data science, and programming languages such as Python and Swift.

What are some typical projects or challenges an Apple Artificial Intelligence professional might work on?

As an Apple Artificial Intelligence team member, you may work on projects ranging from improving Siri’s natural language understanding to developing advanced computer vision capabilities for Apple devices. Common challenges include designing scalable models, ensuring privacy and user security, and optimizing AI algorithms for real-time performance on Apple’s hardware. You will often collaborate closely with software engineers, product designers, and researchers to deliver impactful features and enhancements. This collaborative and dynamic environment encourages innovation and provides opportunities for professional growth as you contribute to world-class AI technologies.

What are the key skills and qualifications needed to thrive in the Apple Artificial Intelligence position, and why are they important?

To excel in an Apple Artificial Intelligence role, you need a strong background in computer science, machine learning, deep learning, and statistics, typically supported by an advanced degree or equivalent experience. Familiarity with tools and frameworks like Python, TensorFlow, PyTorch, and experience with deploying models at scale are highly valued, along with knowledge of Apple's proprietary systems. Strong problem-solving skills, collaboration, and effective communication are essential soft skills for working on cross-functional, innovative projects. These skills enable professionals to contribute to cutting-edge AI solutions that directly enhance Apple’s products and user experience.

More about Apple Artificial Intelligence jobs

What are the most commonly searched types of Apple Artificial Intelligence jobs?

The most popular types of Apple Artificial Intelligence jobs are:

What states have the most Apple Artificial Intelligence jobs?

States with the most job openings for Apple Artificial Intelligence jobs include:

What job categories do people searching Apple Artificial Intelligence jobs look for?

The top searched job categories for Apple Artificial Intelligence jobs are:

Infographic showing various Apple Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,121 per year, or $56.8 per hour.

Senior Engineering Manager, Conversational AI & Knowledge Intelligence

Apple

Santa Clara, CA • On-site

Full-time

Re-posted 3 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Apple is where individual imaginations gather together, contributing to the values that lead to great work. Every new idea has the potential to become an extraordinary product, service, or customer experience. The AI, Search & Knowledge Platforms team builds the foundational intelligence powering Apple's most iconic experiences, including Siri, Spotlight, Safari, Apple Intelligence, and many other applications across the Apple ecosystem.
Description
We are seeking an exceptional Senior Engineering Manager to lead the engineering organization responsible for Conversational AI, World Knowledge Question Answering, Retrieval-Augmented Generation (RAG), and Knowledge Intelligence. This team develops the next generation of AI-powered experiences that enable billions of users worldwide to ask questions naturally and receive accurate, grounded, personalized, and delightful answers. You will lead a world-class team of machine learning engineers, software engineers, data engineers, and applied scientists building scalable knowledge systems, LLM-powered reasoning capabilities, retrieval infrastructure, and knowledge generation platforms that continuously improve the quality, freshness, and intelligence of Apple's conversational experiences.
Minimum Qualifications
MS or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Natural Language Processing, or a related technical field.
8+ years of experience leading large-scale engineering and machine learning organizations delivering AI-powered products in production.
Deep experience building conversational AI, search, question answering, knowledge systems, recommendation systems, or large-scale information retrieval platforms.
Strong technical expertise in large language models (LLMs), Retrieval-Augmented Generation (RAG), NLP, and distributed systems.
Demonstrated ability to define long-term technical strategy while successfully executing complex cross-functional programs involving multiple engineering organizations.
Preferred Qualifications
Deep expertise in modern LLM architectures, agentic AI, retrieval systems, semantic search, vector databases, embedding models, knowledge graphs, and multi-stage retrieval and ranking systems.
Strong engineering and R&D experience in LLM post-training, reinforcement learning for language models (RLHF, RLAIF), reward modeling, policy optimization, model alignment, grounding, hallucination reduction, factuality improvement, and production deployment of large-scale AI systems.
Experience building large-scale knowledge generation, knowledge distillation, content understanding, and knowledge enrichment pipelines that continuously improve AI quality and freshness.
Strong product vision with the ability to translate emerging AI technologies into impactful customer experiences across consumer products.
Outstanding leadership, organizational, and communication skills with demonstrated success influencing senior executives and driving alignment across multiple organizations.
Passion for building inclusive, high-performing engineering teams and fostering a culture of technical excellence, innovation, and continuous learning.

What Apple employees say

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Benefits

Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976