Software Engineer - Generative AI & ML, Customer Systems

Responsibilities

You will contribute to the development and fine-tuning of generative AI models and design retrieval strategies for product-relevant data. Additionally, you will prototype multi-agent collaboration systems and partner with engineering teams to ensure scalable deployment and monitoring.

Requirements

Candidates must have at least 4 years of experience in ML, backend, or data engineering, including over 1 year of hands-on experience with LLMs. A bachelor's or master's degree in Computer Science or a related field is required.

Skills

• Machine Learning
• Generative AI
• LLMs
• Backend Engineering
• Data Engineering
• Transformers
• Datasets
• RAG Architectures
• Vector-based Retrieval
• Multi-agent Systems
• Python
• Cloud Computing
• AWS
• GCP
• STT
• TTS

About this role

At Apple, we are driven to deliver exceptional experiences through ultra-fast,
thoughtfully designed, and meticulously crafted solutions. Our team is not just
any group; we are a highly motivated, fast-paced, and dynamic collective of
professionals committed to scaling new heights and achieving excellence. We seek
individuals who strive beyond mediocrity and are relentless in their pursuit of
perfection. Contribute to model development and fine-tuning workflows for
generative AI features. Design and evaluate retrieval strategies for grounding
large models in product-relevant data. Prototype and benchmark multi-agent
collaboration systems for structured reasoning tasks. Partner with data and
platform engineers to ensure scalable deployment and monitoring.

DESCRIPTION

The Customer Support AI team is responsible for building multi-turn,
conversational, agentic applications and frameworks to support Apple customers
across numerous lines of business. You’ll be contributing hands on to a team
that consists of engineers, data scientists & researchers to enhance a
multi-modal, multi-agent platform with a key focus on incorporating research to
improve, latency, cost and customer experience. This is an incredible
opportunity to contribute innovation & research to a well established generative
AI platform within Apple. There is a huge amount of opportunity and growth
within this space!

MINIMUM QUALIFICATIONS

4+ years of hands-on experience in ML, backend engineering, data engineering 1
year plus of hands-on experience in training, fine-tuning, or evaluating LLMs
Proficiency in machine learning libraries (transformers, datasets). Bachelor's
or Master's degree in Computer Science, Machine Learning, or related field, or
equivalent practical experience.

PREFERRED QUALIFICATIONS

Foundational understanding of RAG architectures and vector-based retrieval
systems Strong problem-solving and collaboration skills, with the ability to
learn quickly and adapt to production-grade systems. Experience working with
Multi-modal LLMs to enable Voice capabilities is a plus or prior experience with
STT, TTS systems. Experience with deploying to cloud environments (AWS, GCP,
on-remote hybrid) is required.

About Apple

Computers and Electronics Manufacturing · 10,001+ employees · headquartered in Cupertino, California · founded 1976