Senior/Staff Applied ML Engineer u2013 AI/ML ...

Role Number: 200616697-3337 Summary We're building the next generation of AI evaluation systems u2014 and we're looking for ahands-on engineer who can bridge ML, software, and product to make AI systems moremeasurable, testable, and trustworthy.Weu2019re part of the AI/ML Evaluation organization, seeking a Senior or Staff-level AppliedML Engineer with strong software engineering skills and a solid understanding ofmachine learning. In this hands-on role, youu2019ll help design and build intelligent systemsthat simulate complex interactions (including agentic workflows powered by LLMs),develop tools for extracting structured insights, and create robust evaluation datasets.Youu2019ll also contribute to building scalable platforms for simulation and behavior analysis.This role sits at the intersection of ML, engineering, and product u2014 ideal for someonepassionate about bringing clarity and rigor to real-world AI performance. Description Weu2019re looking for a pragmatic engineer who thrives at the intersection of machinelearning and software development u2014 capable of building robust, scalable systems thatsupport evaluation and development of advanced AI capabilities, including largelanguage models and agentic behaviors.A successful candidate is comfortable navigating ML, systems, and product domains.You bring strong software engineering fundamentals, experience building andmaintaining end-to-end pipelines, and a practical understanding of how to evaluate AIsystems in real-world contexts. Youu2019re curious about how LLMs behave in interactive oragentic settings, thoughtful about evaluation design, and eager to build tools thatimprove visibility and trust in AI. Above all, you enjoy collaborating across disciplinesand bringing structure to complex, evolving problems. Minimum Qualifications + 8+ years of experience in software engineering, ML engineering, or applied ML roles + Proficiency in Python or another modern programming language (e.g., Java, Go, Swift) + Experience building and maintaining production-grade systems + Solid understanding of machine learning concepts, especially LLMs and their + applications + Excellent communication and collaboration skills with cross-functional partners Preferred Qualifications + Experience working on AI evaluation systems, LLM-based simulations, or agentic AI + frameworks + Background in building tools for data analysis, model evaluation, or synthetic data + generation + Familiarity with metrics instrumentation and observability in ML systems + Experience designing pipelines for AI/ML workflows + Exposure to applied research, generative models, or real-time systems + Understanding of how model quality connects to product outcomes and user + experience 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 (.

Created: 2025-12-15