Model Fine Tuning Engineer Jobs

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Applied AI Engineer

Apple Austin, TX

Austin, TX

Today

$150k - $278k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

Build AI agent and analytics capabilities for Apple Ads (Data Insights), connecting LLMs to internal data and decision-support workflows.

Responsibilities

Design and develop scalable AI agent systems that connect LLMs with data infrastructure, APIs, and analytical tools
Improve agent orchestration capabilities, including tool calling, memory, MCPs, context retrieval, and intelligent routing
Create reusable platform components that let teams build and extend AI-powered analytical workflows
Develop evaluation frameworks and monitoring systems to increase observability, accuracy, reliability, and performance
Use machine learning and analytical methods to define and enhance online and offline metrics that improve retrieval quality, reasoning accuracy, and traceability of AI-generated insights
Deliver AI-native solutions from concept to production with a focus on scalability, latency, and maintainability
Collaborate with engineers, data scientists, and business stakeholders to convert domain expertise and analytical workflows into reusable AI capabilities

Requirements

Experience architecting and scaling production AI agent platforms, including multi-step orchestration, tool execution, memory, and context management
Experience building LLM evaluation frameworks, regression benchmarks, and observability systems to improve agent reliability and reasoning quality
Experience with advanced retrieval methods such as embeddings, and/or model fine-tuning, and/or inference optimization
Experience building natural-language-to-SQL systems, analytical agents, or AI-enabled decision-support platforms
Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field
Bachelor’s degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience
Experience designing, building, and deploying production software systems, with strong Python programming and software engineering fundamentals
Hands-on experience deploying LLM-powered applications using agentic workflows, tool calling, RAG, or related techniques
Experience with large-scale data platforms or distributed data systems
Strong foundation in AI, machine learning, statistics, and software engineering principles
Strong problem-solving, communication, and cross-functional collaboration skills

Technologies

Python
LLMs
MCPs
RAG
Tool calling
Embeddings
Model fine-tuning
Inference optimization
Natural-language-to-SQL

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
Discretionary restricted stock unit awards eligibility
Ability to purchase Apple stock at a discount with voluntary participation in the Employee Stock Purchase Plan
Discretionary bonuses or commission payments (as applicable)
Relocation (as applicable)

Pay

Base pay range: USD 150,400 - 277,600 per year
Base pay depends on skills, qualifications, experience, and location

Apple employees may be eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if participating in the Employee Stock Purchase Plan. This role might be eligible for discretionary bonuses or commission payments and relocation, subject to plan eligibility requirements and other terms.

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