150 jobs for "ML Data Operations Engineer"

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It's Apple's central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

Customer Systems is part of IS&T and drives the technology behind Apple's customer support experience - from contact center operations to the software powering the iconic Genius Bar. The team also builds and operates AppleCare's online support platform, which handles 6 billion visits per year, delivering seamless, high-quality support to Apple customers around the globe.

Description
The Customer Systems - Gen AI Solutions team is responsible for building multi-turn, conversational, agentic LLM-based 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 the latest models and advancements 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!","responsibilities":"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-round agentic solutions for conversational knowledge-intensive tasks.
Partner with data and platform engineers to ensure scalable deployment and monitoring.
Stay current with advancements in large language modeling, vector search, RAG, and LLM Agents.
Participate in architecture discussions with engineers and partner teams.
Collaborate with product and business stakeholders to incorporate customer experience requirements into AI solutions.
Support localization and rollout of AI features across multiple markets.

Preferred Qualifications
Strong experience partnering with business and engineering team to deliver AI solutions.

Minimum Qualifications
8+ years of hands-on experience in ML, backend engineering, data engineering
1-2 years of hands-on experience in training, fine-tuning, or evaluating LLMs
Foundational understanding of RAG architectures and vector-based retrieval systems
Exposure to multi-agent orchestration frameworks in Rust and Python.
Familiarity with modern deep learning frameworks such as PyTorch, TensorFlow, or JAX.
Experience with data preprocessing, tokenization, and pipeline automation.
Proficiency in machine learning libraries (transformers, datasets).
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.
Fluency in written and spoken Chinese to support Greater China market
Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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