About the role

What will you do at Apple?

Are you passionate about Machine Learning and AI, and eager to apply your

expertise to solve real-world problems at Apple’s incredible scale? Do you want

to see your work translated into direct impact on iPhone, iPad, Mac, AirPods,

Watch, and more? Come join us in in developing, shipping, and maintaining AI/ML

and Generative AI services — including the infrastructure, evaluation pipelines,

and integration workflows that provide cutting-edge features to support Apple’s

hardware product development teams, helping bring amazing, groundbreaking

products and innovations to life. We are the Human Research and Engineering

Solutions (HRES) AI/ML team, and we build and deliver software supporting the

development of Apple’s unparalleled hardware product line. Our software is used

by Apple engineers, factory teams, and third-party accessory manufacturers to

develop and debug their systems, with high visibility throughout the company.

DESCRIPTION

As a Software Engineer in our team, you will work with a diverse array of

cross-functional partners throughout Apple on challenging projects incorporating

Machine Learning and Generative AI. The software you build will be instrumental

in solving difficult challenges, providing data insights, and driving

decision-making within Hardware Engineering and beyond. We move at a fast pace,

iterate quickly, and work side-by-side with our customers to ensure we’re

building the most effective solutions possible.

MINIMUM QUALIFICATIONS

Bachelor’s Degree in Computer Science, Computer Engineering, related field, or

equivalent work experience 3+ years professional software engineering experience

working in Python or other object-oriented programming language(s) Demonstrated

ability to write applications in a high-level programming language like Python,

Ruby, Java, etc. Excellent written and verbal communication skills to both

technical and non-technical audiences

PREFERRED QUALIFICATIONS

Master’s degree in Computer Science, Computer Engineering, related field, or

equivalent work experience Experience building with LLMs, designing and training

custom ML models, and developing RAG/agentic pipelines Experience with data

analysis, processing, analytics, and visualization to drive data-based decision

making Experience with evaluating complex AI systems, producing actionable

hypotheses, and assessing their validity Exposure or interest in leveraging

Kubernetes and other cloud-based deployment platforms to deliver applications

reliably at a high velocity Ability to architect complex systems in a reusable,

modular way Curiosity to learn new technologies and passion for sharing that

knowledge with others

Which skills does this role require?

PythonMachine LearningGenerative AISoftware EngineeringData AnalysisData VisualizationCloud DeploymentSystem ArchitectureObject-oriented ProgrammingCommunication SkillsApplied AISoftware EngineerInfrastructureEvaluation PipelinesIntegration WorkflowsHardware EngineeringJavaRuby

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