ZipRecruiter

Log In

1

Internship Apple Machine Learning Engineer Jobs in California

Apple

Machine Learning Engineer- GenAI

Cupertino, CA · On-site

At Apple, we believe new insights have a way of becoming excellent products, services, and customer ... engineer to join our team. You will help design and implement our machine learning strategy to the ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA

$175K - $263K/yr

... in machine learning and software engineering to understand user queries and intents, retrieve and ... Our team works on a search platform that powers features that incorporate search into Apple ...

Apple

Machine Learning Video Engineer

Cupertino, CA · On-site

The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. As a machine learning engineer, you'll be developing ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

At Apple, great ideas have a way of becoming great products, services, and customer experiences ... As a Machine Learning Engineer on our core AI/ML team, you will design and build GenAI-powered ...

next page

Showing results 1-20

All JobsApple Machine Learning Engineer JobsInternship Apple Machine Learning Engineer JobsInternship Apple Machine Learning Engineer Jobs in California

Internship Apple Machine Learning Engineer information

What is the difference between Internship Apple Machine Learning Engineer vs Software Engineering Intern?

AspectInternship Apple Machine Learning EngineerSoftware Engineering Intern
Required CredentialsRelevant coursework, programming skills, some experience in MLComputer science fundamentals, programming skills, coursework
Work EnvironmentResearch-focused, data-driven projects within AppleSoftware development projects, coding, testing
Employer & Industry UsageApple, technology, AI/ML applicationsVarious tech companies, software development

Both roles involve programming and technical skills, but the Internship Apple Machine Learning Engineer focuses on machine learning projects within Apple, requiring knowledge of ML frameworks. The Software Engineering Intern role is broader, emphasizing general software development. Candidates interested in AI/ML should consider the Machine Learning Engineer internship for specialized experience, while those seeking general software development roles may prefer the Software Engineering Intern position.

What are the most commonly searched types of Apple Machine Learning Engineer jobs in California? The most popular types of Apple Machine Learning Engineer jobs in California are:
What are popular job titles related to Internship Apple Machine Learning Engineer jobs in California? For Internship Apple Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Apple Machine Learning Engineer jobs in California look for? The top searched job categories for Internship Apple Machine Learning Engineer jobs in California are:
What cities in California are hiring for Internship Apple Machine Learning Engineer jobs? Cities in California with the most Internship Apple Machine Learning Engineer job openings:
Internship Apple Machine Learning Engineer jobs near you
AIML - Machine Learning Engineer, Foundation Models

AIML - Machine Learning Engineer, Foundation Models

Apple

Cupertino, CA

$184K - $324K/yr

Full-time

Medical, Dental, Retirement

Re-posted 14 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We're seeking skilled Machine Learning Engineers to transform cutting-edge research into scalable, production-ready AI solutions.
We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.
Description
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.","responsibilities":"Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains
Collaborate with other teams to productionize state-of-the-art AI algorithms
Optimize models for performance, efficiency, and on-device intelligence
Implement machine learning systems with stringent privacy and security requirements
May also be required to manage a small team of engineers.
Preferred Qualifications
Experience with foundation models and large language models
Background in multi-modal AI systems
Demonstrated ability to transform research prototypes into production systems
Published research or significant contributions to open-source ML projects
Understanding of on-device machine learning techniques
Minimum Qualifications
MS or PhD in Computer Science, Machine Learning, or related technical field
Expert-level programming skills in Python
Proficiency in machine learning frameworks such as Jax, PyTorch, TensorFlow
Strong background in: Distributed training, Model optimization, and Machine learning infrastructure
Experience with large-scale model training and deployment
Familiarity with: Kubernetes, Docker, Cloud platforms (AWS, GCP, Azure)
Distributed computing frameworks
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.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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

View All Apple Jobs

Apply