Machine Learning Engineer- Gen AI

Apple Inc.; San Diego (CA); On-site; USD 142,300 - 214,300; Full time

Job summary

Apple Inc. in San Diego seeks a Product Operations professional to lead end-to-end ML solutions within Operations and Supply Chain.

You will perform ad-hoc statistical analyses, collaborate with data engineers to deliver detailed BI solutions, and present analyses to executives. Required is 3+ years in GenAI, ML, software engineering, and data mining with LLM/LMM emphasis, plus a Master’s in a related field.

Qualifications

• 3+ years of GenAI, ML, software engineering, and data mining with emphasis on LLMs or LMMs.
• Master's degree in AI/ML/CS/Statistics/OR/Physics/Engineering or related field.

Responsibilities

• Perform ad-hoc statistical analyses.
• Collaborate with data engineers to deliver detailed BI solutions.
• Present analyses to executives and a wide range of audiences.
• Lead end-to-end ML/GenAI solution development and deployment.

Skills

GenAI experience

Machine Learning

Data mining models

Education

Master's degree in AI/ML/CS/Statistics/OR/Physics/Engineering

Tools

Kubernetes

Apache Airflow

Docker

Conductor

Ray

LangChain

LlamaIndex

Job description

San Diego, California, United States: Operations and Supply Chain

Product Operations partners with a variety of different engineering and operations teams; our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment. You will perform ad-hoc statistical analyses, work closely with data engineers to generate detailed business intelligence solutions, and conduct presentations of analyses to a wide range of audiences, including executives.

Description

Product Operations partners with a variety of different engineering and operations teams; our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment. You will perform ad-hoc statistical analyses, work closely with data engineers to generate detailed business intelligence solutions, and conduct presentations of analyses to a wide range of audiences, including executives.

Minimum Qualifications

• 3+ years experience in GenAI applications, machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).
• Master's in Artificial intelligence, Machine Learning, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field.

Preferred Qualifications

• Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and fine-tuning is a major plus.
• 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 is a plus.
• 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.
• Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus.
• Proven experience in leading and mentoring teams is a plus.

At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $142,300 and $214,300, 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. 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.

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.