Role at a glance
- Job function
-
AI & Data Machine Learning Engineering
- Salary
- Not Disclosed
- Location
- Austin, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 2+ years of experience building machine learning solutions using supervised/unsupervised learning, classification, recommendation...
- Education
- Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience
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Qualifications
2+ years building machine learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms; in-depth knowledge of transformer architecture, LLMs, and Agentic AI; hands-on experience fine-tuning LLMs with PEFT/LoRA; experience building and extending RAG, MCP, or multi-agent frameworks; bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience.
Required
- In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts
- Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks
- Proven experience building and extending RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen)
Preferred
- 3+ years deploying production-grade AI/ML solutions in the FinTech domain
- 2+ years building conversational assistants or autonomous agents using advanced techniques (LangGraph, CrewAI, A2A, CoT, ReAct, Reflection)
- Experience with the full LLM lifecycle including pre-training, SFT, and Reinforcement Learning techniques (RLHF, PPO, GRPO)
- Demonstrated ability to quickly master emerging AI tools and integrate them into legacy stacks
- Strong written and verbal communication skills with the ability to explain complex AI concepts to business stakeholders
About the role
Original posting provided by Apple
Summary
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The G&A Solutions Engineering organization at Apple primarily focuses on creative ways to engineer business solutions to meet growing needs of Apple's Finance, iTunes, Sales, Retail, and Services organizations. At core, our portfolio comprises of engineered custom solutions to process high volume transactions from Apple Pay, iTunes, Ads, App Store, iPhone Activations to Sales from Retail, Online, and Resellers. These solutions are based on cutting edge enterprise technologies ranging from Distributed Systems, Microservices, Java, Spring/Boot, Oracle, MongoDB, AWS services to AI/ML, Generative AI, and Blockchain. Accurately processing such high volume transactions is our core strength.
Description
The iRecon Payments team is seeking a highly motivated AI/ML Engineer to help build our next-generation payments platform. In this role, you will blend classical ML with cutting-edge Generative and Agentic AI to transform how we process transactional data at scale.
Responsibilities
You will act as a technical catalyst, modernizing complex product architectures to enable full observability and autonomous workflows for reconciliation, invoicing, and payments
We are looking for a self-starter who can navigate the intersection of financial data and Large Language Models to drive productivity and operational efficiency
Minimum Qualifications
2+ years of experience building machine learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms
In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts
Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks
Proven experience building and extending RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen)
Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience
Preferred Qualifications
3+ years deploying production-grade AI/ML solutions in the FinTech domain
2+ years building conversational assistants or autonomous agents using advanced techniques (LangGraph, CrewAI, A2A, CoT, ReAct, Reflection)
Experience with the full LLM lifecycle including pre-training, SFT, and Reinforcement Learning techniques (RLHF, PPO, GRPO)
Demonstrated ability to quickly master emerging AI tools and integrate them into legacy stacks
Strong written and verbal communication skills with the ability to explain complex AI concepts to business stakeholders
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.