Senior Software Engineer, Generative AI & ML, Customer Systems

Apple Inc

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Work type
On-site
Location
Austin, TX
Posted
139 days ago
Freshness
Confirmed live today

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Similar $181k
$108k $248k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $153,437–$207,618.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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TL;DR · Senior Software Engineer, Generative AI & ML, Customer Systems

The Senior Software Engineer - Generative AI & ML, Customer Systems joins the Customer Support AI team within the Information Systems and Technology organization. This role involves contributing to model development and fine-tuning workflows for generative AI features while designing and evaluating retrieval strategies to ground large models in product-relevant data. You will prototype and benchmark multi-agent collaboration systems for structured reasoning tasks and partner with data and platform engineers to ensure scalable deployment and monitoring. Key technical requirements include experience with machine learning libraries like transformers and datasets, RAG architectures, vector-based retrieval systems, and cloud environments such as AWS or GCP. The work focuses on building multi-turn, conversational, agentic applications and multi-modal platforms to improve latency, cost, and customer experience for global support systems.

What does a Software Engineer earn in Texas?

Median $178175 from 187 postings across 44 companies.

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What you'll do

  • 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.
  • Build multi-turn, conversational, and agentic applications to support Apple customers.
  • Enhance a multi-modal, multi-agent platform to improve latency, cost, and customer experience.
  • Deploy machine learning models to cloud environments including AWS, GCP, and on-premise hybrid systems.

What we're looking for

  • 5+ years of hands-on experience in ML, backend engineering, or 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.
  • Strong experience partnering with business and engineering teams to deliver AI solutions.
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
  • Proficiency in machine learning libraries such as transformers and datasets (preferred).
  • Experience with deploying to cloud environments like AWS, GCP, or on-remote hybrid.
  • Experience with Multi-modal LLMs for Voice capabilities or prior experience with STT and TTS systems (preferred).

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