Senior Machine Learning Engineer (Generative AI)

Apple Inc.; Cupertino (CA); On-site; USD 184,700 - 277,600; Full time

Job summary

Apple Inc. in Cupertino, CA is seeking a Machine Learning Engineer or Scientist to translate high-level goals into concrete, measurable ML requirements and ship data‑driven features. You will collaborate with engineering teams and designers to architect robust AI solutions and deliver production‑ready models.

The ideal candidate is hands‑on, takes ownership, and thrives in a fast‑paced environment, contributing from concept to deployment and continual improvement.

Qualifications

• 5+ years of experience in building large-scale machine learning systems.
• 2+ years in generative AI models, computer vision, or knowledge graphs.
• Experience with large-scale real-world datasets.
• Metrics-driven with focus on quality and user-facing results.
• Strong programming skills with ML libraries PyTorch, TensorFlow, Scikit-learn.
• Strong knowledge of Spark or other big data technologies.
• Familiarity with AWS, GCP, or Azure.

Responsibilities

• Convert abstract goals into concrete, measurable ML requirements.
• Propose, implement, evaluate, and ship AI/ML technologies.
• Collaborate with engineering teams and designers to architect end-to-end systems.
• Take ownership from concept to production and iterate based on data.

Skills

5+ years ML systems

Generative AI

Computer vision

Knowledge graphs

Large datasets

Metrics-driven

PyTorch

TensorFlow

Scikit-learn

Spark

Cloud platforms (AWS/GCP/Azure)

Education

Masters or PhD in ML/CS/EE

Tools

PyTorch

TensorFlow

Scikit-learn

Spark

Job description

Cupertino, California, United States Machine Learning and AI

We are looking for a Machine Learning Engineer or scientist who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping different AI/ML technologies to improve data quality or deliver user facing features. This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system.

Description

In this role, you’ll work alongside world-class engineers and scientists to develop innovative AI/ML solutions that enhance user experiences. The ideal candidate takes initiative, demonstrates ownership from concept to production, is not afraid to dive deep into data, and is hands‑on in building robust, real‑world solutions. They thrive in a fast‑paced environment and bring resilience and curiosity to continually improve in pursuit of excellence.

Minimum Qualifications

• 5+ years of experience in building large‑scale machine learning systems
• 2+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, MLLMs), computer vision or knowledge graph
• Experience working with large‑scale and real‑world datasets
• Metrics‑driven and passionate about delivering models that produce high‑quality, user‑facing results
• Strong programming skills and hands‑on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit‑learn
• Strong knowledge of Spark or other related big data technologies
• Familiarity with cloud platforms such as AWS, GCP, or Azure

Preferred Qualifications

• Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
• Experience shipping a complex AI system, including research and leveraging generative AI models
• Excellent written and oral communication skills

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 $277,600, 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.

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.