Machine Learning Engineer - Agentic AI

Описание

As a member of the ML group at Apple, you will design, prototype, and ship agentic GenAI systems used by chip design engineers to accelerate their day-to-day workflows.

Responsibilities

• Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks
• Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources
• Partner with subject-matter experts on the customer teams to translate their workflows and rules of thumb into concrete agent assignments, prompts, tools, and guidelines
• Build the evaluation backbone for our agents: define success measures, curate offline golden sets, and instrument online telemetry to power feedback loops that drive fast, safe iteration with real cost and quality control
• Drive prompt engineering, model selection, and lightweight model adaptation as the workloads demand
• Collaborate closely with software engineers on the team to productionize your work, and with researchers and customers to shape what we build next
• Stay current with the rapidly evolving agentic and LLM landscape and bring promising techniques into our products with good engineering judgment

Requirements

• 3+ years of applied ML/AI experience, including hands-on work building LLM-powered or agentic applications
• Strong programming skills in Python and experience with modern ML and deep learning frameworks (e.g., PyTorch)
• Hands-on experience with agentic frameworks, tool use, and data pipelines
• Strong evaluation mindset: comfortable designing golden sets, metrics, and telemetry to drive iteration
• Excellent communication and collaboration skills, with the ability to align with subject-matter experts and translate their domain knowledge into agent behavior
• Hands-on experience with stateful, multi-turn agentic frameworks and complex execution flows
• Experience with prompt engineering and optimization techniques
• Experience with model adaptation (e.g., fine-tuning, distillation, preference optimization)

Nice to have

• Publications at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, or similar)
• Familiarity with chip design or EDA environments

We offer

• Apple believes accessibility is a fundamental human right, reflected in culture, benefits, and digital tools
• By welcoming as many perspectives as possible, Apple helps you build a career where you feel like you belong