ML Engineer, Proactive - Agentic Systems Evaluation
Apple Inc
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How this pay compares to similar roles
This role pays less than 84% of similar roles. Most pay $196,562–$249,750 — the shaded band above. At the midpoint, this role pays about $174k versus about $223k for comparable roles.
Based on 240 similar postings.
Employer
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 1723 open roles on FindRole.
Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.
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At a glance
As an ML Engineer at the Proactive Intelligence team, you will play a pivotal role in designing and deploying evaluation frameworks for agentic systems, ensuring they meet high standards of quality and reliability. Your day-to-day responsibilities include creating robust metrics to measure system performance, developing MCP servers and API orchestration layers, and integrating diverse internal systems into cohesive production pipelines. You will also manage analytic dashboards to provide insights to stakeholders and collaborate with cross-functional teams. This role requires expertise in Python, along with a deep understanding of differential privacy, PII redaction, and data minimization techniques. Ideal candidates have experience with large-scale datasets, LLM-based systems, and specialized agent evaluation frameworks, as well as a background in system-level software operations to tackle the challenges of evaluating next-generation intelligent systems.
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