Senior Software Engineer, Generative AI & ML, Customer Systems

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 93 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $190k

$118k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $161,112–$219,150.

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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

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

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As a Senior Software Engineer - Generative AI & ML, Customer Systems, you will join the Customer Support AI team within the Information Systems and Technology organization. You will contribute to building multi-turn, conversational, agentic applications and frameworks designed to support customers across various lines of business. Your daily responsibilities include developing and fine-tuning generative AI features, designing retrieval strategies for grounding large models in product data, and prototyping multi-agent collaboration systems for structured reasoning tasks. You will work with machine learning libraries like transformers and datasets while deploying to cloud environments such as AWS or GCP. The role focuses on enhancing a multi-modal platform by improving latency, cost, and experience through RAG architectures, vector-based retrieval systems, and potentially integrating voice capabilities via STT and TTS technologies within the customer support infrastructure.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

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Skills

Generative AI RAG Machine Learning Transformers Datasets STT TTS AWS GCP Backend Engineering Data Engineering

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.
Build multi-turn, conversational, and agentic applications to support customers across various lines of business.
Integrate research into the platform to improve latency, cost, and customer experience.
Partner with data and platform engineers to ensure scalable deployment and monitoring of AI solutions.
Develop multi-modal LLM capabilities including voice features and STT/TTS systems.

What we're looking for

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

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