About the role

What will you do at Apple?

We are seeking a highly experienced Machine Learning Engineer to build, deploy,

and optimize Large Language Model (LLM)-based applications, with a strong

emphasis on MLOps/LLMOps (LLM operations) and scalable production systems. At

Apple, we believe in creating technology that enriches lives and empowers

creativity. You’ll play a pivotal role in developing Apple Intelligence, driving

the next generation of groundbreaking products across all Apple platforms.

DESCRIPTION

The team is a growing group that works closely with product, ML research, Data

Science and infrastructure teams, to ensure the successful delivery of Apple

Foundation models and Apple Intelligence evaluations. We are looking for a

Machine Learning Engineer focusing on MLOps/LLMOps infrastructure to build a

next generation LLM-powered evaluation systems.

In this role, you will

be
instrumental in scaling our internal evaluation platform, building automation
and self-service tools, and ensuring the reliability and efficiency of
large-scale LLM services. You will have the opportunity to create huge impacts
across all AI products through innovations.
MINIMUM QUALIFICATIONS
4+ years in software engineering with experience in large-scale software system
design and implementation. Proven track record of shipping production-grade
ML/LLM systems. Strong understanding of LLMs, fine-tuning, prompt engineering,
vector databases and RAG patterns. Experience with distributed systems,
databases (SQL/NoSQL), cloud platforms (AWS, Azure, GCP) and container
orchestration (Kubernetes). Ability to tackle complex challenges, think
critically, and deliver innovative solutions. Excellent communication skills and
a team-oriented attitude, thriving in a collaborative and fast-paced
environment. Bachelor’s degree in Computer Science, Engineering, or a related
field.
PREFERRED QUALIFICATIONS
Hands-on experience with observability and evaluation tools for LLMs. Solid
understanding of machine learning algorithms, model evaluation metrics, and data
processing pipelines. Previous experience in a high-growth tech company or
similar environment. Active participation in open-source projects related to
AI/ML or backend development. Master or Ph.D. in a related field.

Which skills does this role require?

MLOpsLLMOpsLarge Language ModelsSoftware EngineeringSystem DesignPrompt EngineeringVector DatabasesRAGDistributed SystemsSQLNoSQLCloud PlatformsKubernetesData ProcessingMachine Learning EngineerApple IntelligenceFine-tuningAWSAzureGCPAutomationInfrastructure

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.