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Contract Apple Machine Learning Engineer Jobs in California

Machine Learning Engineer

San Diego, CA · On-site

$139.50K - $258.10K/yr

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

Machine Learning Engineer - MLR

Cupertino, CA · On-site

$181.10K - $318.40K/yr

... Apple, and our products. In this role, you'll have the opportunity to work on innovative ... class machine learning engineers and researchers to impact the future of Apple products, and ...

Machine Learning Engineer

Cupertino, CA · On-site

$147.40K - $272.10K/yr

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$181.10K - $272.10K/yr

Sr. Machine Learning Engineer The Answers, Knowledge and Information Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including ...

Machine Learning Engineer - MLR

Cupertino, CA · On-site

$181.10K - $318.40K/yr

Machine Learning Engineer - MLR Play a part in building the next revolution of machine learning ... Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined ...

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and ...

Machine Learning Engineer- GenAI

Cupertino, CA · On-site

$147.40K - $272.10K/yr

Machine Learning Engineer- GenAI Imagine what you could do here ... At Apple, we believe new insights have a way of becoming excellent products, services, and customer ...

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Contract Apple Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as a Contract Apple Machine Learning Engineer, and why are they important?

To thrive as a Contract Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and deep learning, typically with a relevant degree and experience in building ML models. Proficiency with Python, TensorFlow or PyTorch, Apple's Core ML framework, and version control systems is commonly required. Strong problem-solving skills, collaboration, and effective communication help you navigate project requirements and work with cross-functional teams. These skills and experiences are crucial for delivering high-quality, scalable machine learning solutions that align with Apple's standards and rapidly evolving technology needs.

What are the common challenges faced by Contract Apple Machine Learning Engineers when integrating ML models into Apple’s ecosystem?

Contract Apple Machine Learning Engineers often encounter challenges such as ensuring seamless integration of machine learning models with Apple’s proprietary platforms like iOS, macOS, or Core ML. Adapting to Apple’s strict security, privacy standards, and performance requirements is essential, as is optimizing models for real-time performance on Apple devices. Collaborating effectively with cross-functional teams—such as software developers, designers, and QA engineers—is crucial to deliver scalable and user-friendly ML features within project timelines.

What are Contract Apple Machine Learning Engineers?

Contract Apple Machine Learning Engineers are professionals hired on a temporary or project basis to develop and implement machine learning models and algorithms specifically for Apple’s products and platforms. They typically work on tasks such as optimizing machine learning workflows for iOS, macOS, or other Apple technologies, and may collaborate closely with Apple’s in-house teams. Their responsibilities can include data preprocessing, model training, evaluation, and integration into Apple’s ecosystem. These engineers are expected to have expertise in machine learning frameworks, programming languages like Python or Swift, and a strong understanding of Apple’s development tools. Contract roles often provide flexibility but may require quick adaptation to Apple’s proprietary systems and high standards.
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 job categories do people searching Contract Apple Machine Learning Engineer jobs in California look for? The top searched job categories for Contract Apple Machine Learning Engineer jobs in California are:
What cities in California are hiring for Contract Apple Machine Learning Engineer jobs? Cities in California with the most Contract Apple Machine Learning Engineer job openings:
Infographic showing various Contract Apple Machine Learning Engineer job openings in California as of May 2026, with employment types broken down into 3% As Needed, 83% Full Time, 8% Part Time, 5% Contract, and 1% Nights. Highlights an 60% Physical, and 40% Remote job distribution.
Machine Learning Engineer - LLM

Machine Learning Engineer - LLM

Apple

Cupertino, CA • On-site

$181.10K - $272.10K/yr

Other

Medical, Dental, Retirement

This job post has expired today. Applications are no longer accepted.


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Machine Learning Engineer - LLM

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. The people here at Apple don't just create products — they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

We are seeking a highly capable and dynamic Machine Learning Engineer to work cross-functional in building out a GenAI system in support of Beats and Apple Audio products. The ideal candidate thrives in ambiguity, is exceptionally organized, relentlessly detail-oriented, and an exceptional communicator at all levels of the organization.

Minimum Qualifications
  • 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).
  • Masters in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field.
  • Ability to travel internationally - up to 10%
Preferred Qualifications
  • Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and fine-tuning.
  • Experience applying ML techniques in manufacturing, testing, or hardware optimization.
  • Proficiency in using cutting-edge GenAI tools, i.e. Claude Code, Roo Code, etc.
  • Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale.
  • Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration.
  • Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences.
  • Proven experience in leading and mentoring teams.

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 $181,100 and $272,100, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis.


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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