Role at a glance
- Job function
-
AI & Data Generative AI Engineering AI Search & Retrieval Engineering
- Salary
- Not Disclosed
- Location
- Austin, Texas, United States
- Experience
- 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.
- Education
- Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience.
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Role Summary
The role contributes to Apple’s Customer Support AI team, which builds multi-turn conversational and agentic applications and frameworks for customers across business lines. It helps enhance a multimodal, multi-agent platform, incorporating research to improve latency, cost, and customer experience.
What You'll Do
- Contribute to model development and fine-tuning workflows for generative AI features.
- Design and evaluate retrieval strategies to ground large models in product-relevant data.
- Prototype and benchmark multi-agent collaboration systems for structured reasoning tasks.
- Partner with data and platform engineers on scalable deployment and monitoring.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
4+ years of hands-on experience in ML, backend engineering, or data engineering; 1 year plus of hands-on experience 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 a related field, or equivalent practical experience. Experience deploying to cloud environments (AWS, GCP, on-remote hybrid) is stated as required.
Preferred
- 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.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
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.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.