Machine Learning Engineer - AI Evaluation & LLM Systems

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 150,000 - 225,000; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock programs

Stock purchase plan

Relocation assistance

Tuition reimbursement

Discounts on Apple products

Job summary

Apple Inc. in Cupertino, California, is seeking a Machine Learning Engineer to build evaluation systems and scalable infrastructure for AI experiences across Apple products.

You will develop models, evaluators, and methodologies to measure and improve quality of LLMs and multimodal AI, working with ML researchers, software engineers, and product teams. You will translate research into production-ready solutions, analyze large-scale data, and push innovative benchmarking approaches to advance AI

Qualifications

• MS or PhD in CS, ML, EE, or related field, or equivalent practical experience.
• 1–2 years of industry or equivalent experience in ML/AI development.
• Proficiency in Python; familiarity with C++ or another OO language.
• Experience with PyTorch, TensorFlow, or JAX.
• Strong fundamentals in supervised learning, evaluation, and statistics.
• Experience with data processing, model training, or experimentation.

Responsibilities

• Design, develop, and deploy evaluation systems and scalable software.
• Build robust infrastructure to support model training, benchmarking, and large-scale evaluation.
• Analyze model performance and develop techniques to measure AI behavior.
• Collaborate with researchers, software engineers, and product teams to productionize research.
• Drive technical excellence through architecture, reviews, experiments, and best practices.

Skills

Python

PyTorch

TensorFlow

JAX

C++

Git

Data analysis

Model evaluation

Education

Master's degree in CS/ML/EE or related field

PhD in ML/AI (preferred)

Tools

CI/CD

GIT

Job description

Cupertino, California, United States Machine Learning and AI

Join the team building the evaluation systems that enable Apple's next generation of AI experiences. As a Machine Learning Engineer, you will develop scalable infrastructure, intelligent evaluators, and data-driven methodologies that measure and improve the quality of large language models and multimodal AI systems used across Apple products.You’ll partner closely with ML researchers, software engineers, and product teams to design novel evaluation techniques, analyze model behavior, and translate research into production-ready systems. This role requires strong engineering fundamentals, a passion for machine learning, and the curiosity to solve challenging problems at the intersection of AI, data, and software engineering.If you’re excited about building the tools that help define the future of AI quality at Apple, we’d love to hear from you.

Description

As a Machine Learning Engineer, you will build the systems that measure and improve the quality of AI experiences used by millions of people. You will develop machine learning models, evaluation frameworks, and scalable infrastructure that enable teams to understand model behavior, identify regressions, and accelerate the development of large language models and multimodal AI. Working closely with researchers, software engineers, and product teams, you will transform cutting-edge research into production-ready solutions, analyze large-scale datasets, and develop new approaches for benchmarking and improving AI quality. This is a unique opportunity to solve challenging technical problems at the intersection of machine learning, software engineering, and data, while helping shape the future of AI at Apple.

Responsibilities

• Design, develop, and deploy evaluation systems and scalable software that improve the quality of AI experiences.
• Build robust infrastructure to support model training, benchmarking, and large-scale evaluation.
• Analyze model performance, identify quality issues, and develop innovative techniques to measure and improve AI behavior.
• Collaborate with machine learning researchers, software engineers, and product teams to translate research into production-ready solutions.
• Drive technical excellence by contributing to architecture, code reviews, experimentation, and engineering best practices.

Minimum Qualifications

• MS, or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related technical field, or equivalent practical experience.
• 1-2 years of industry experience, or equivalent academic or internship experience, developing machine learning or AI solutions.
• Proficiency in Python and familiarity with C++ or another object-oriented programming language.
• Experience with one or more machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Understanding of machine learning fundamentals, including supervised learning, model evaluation, and statistical analysis.
• Experience working with data processing, model training, or experimentation through coursework, research, internships, or industry projects.
• Strong analytical, problem-solving, and communication skills with the ability to collaborate effectively in a team environment.

Preferred Qualifications

• Experience with large language models (LLMs), multimodal AI, or generative AI through internships, research, or personal projects.
• Experience building software or machine learning projects using modern engineering practices (Git, testing, CI/CD).
• Familiarity with distributed computing, cloud platforms, or large-scale data processing.
• Publications, open-source contributions, or participation in machine learning competitions.
• MS or PhD specializing in Machine Learning, Artificial Intelligence, or a related field.

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 $150,400 and $225,300, 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.
• Comprehensive medical and dental coverage.
• Retirement benefits.
• A range of discounted products and free services.
• Reimbursement for certain educational expenses - including tuition.
• 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.

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

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.