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Open nowPosted yesterday

Software Engineer - Generative AI & ML, Customer Systems

Apple6,181 open roles

Where
Austin, United States of America
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Your applicationOpen nowSoftware Engineer - Generative AI & ML, Customer SystemsApple · Austin, United States of America

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Apple's own form.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Apple postings stay open a median of 31 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted yesterday

Apple median: 31 days open

The posting

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.

EEO Statement

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

Accessibility

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

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