About the role

What will you do at Apple?

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.

DESCRIPTION

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.

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.

Which skills does this role require?

Machine LearningSoftware EngineeringData MiningLarge Language ModelsLarge Multimodal ModelsAgentic WorkflowsMachine Learning EngineerBeatsAudio ProductsArtificial IntelligenceStatisticsOperations ResearchPhysicsMechanical EngineeringElectrical EngineeringLLMs

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Machine learning jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.