ML Engineer - Evaluation Analysis, Metric and Data Strategy

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
44 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 54% of similar roles. Most pay $176,337–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · ML Engineer - Evaluation Analysis, Metric and Data Strategy

As an ML Engineer specializing in Evaluation Analysis, Metric, and Data Strategy at the senior level, you will join a team responsible for defining how AI feature quality is measured. Your daily tasks include designing feature-level quality metrics, identifying trends and regressions in evaluation data, and collaborating with partner teams to ensure data collection strategies are aligned with real-world user behavior. You will use Python (pandas, scipy, scikit-learn) and other tools to create dashboards and reports that translate complex analysis into actionable insights for leadership. This role requires expertise in statistical methods, experience with production user data, and the ability to design evaluation approaches where context and turn order affect quality assessment. Ideal candidates have a background in applied science or data science and are familiar with agentic orchestration frameworks and emerging agent interoperability protocols.

What you'll do

  • Define and own quality metrics frameworks for AI features and agentic experiences.
  • Analyze evaluation outputs to identify trends and regressions in user interactions.
  • Drive data collection strategies with partner teams to ensure real-world relevance.
  • Audit evaluation datasets to verify representativeness of actual user distributions.
  • Deliver concise metric summaries for leadership, translating detailed analysis into clear recommendations.
  • Influence model development direction by providing actionable feedback on failure patterns.

What we're looking for

  • Bachelor’s degree in Statistics, Data Science, Applied Mathematics, Computer Science, or related quantitative field.
  • 5+ years of experience in applied science, data science, or evaluation research with focus on quality metrics.
  • Experience with statistical analysis methods including significance testing and experimental design.
  • Ability to work with production user data, understanding biases and limitations compared to controlled data.
  • Track record of independently designing metrics frameworks and driving cross-functional team decisions.
  • Proficiency in Python (pandas, scipy, scikit-learn) or R for data analysis and visualization.
  • Experience evaluating AI systems for tool-use accuracy, retrieval quality, and function-calling reliability.

More like this

Similar roles

ML Engineer, Proactive - Agentic Systems Evaluation

Apple Inc

Cupertino, CA 43 days ago $126,800$220,900
Python Differential Privacy Federated Learning PII Redaction LLMs Chain-of-Thought Reasoning Prompt Engineering API Integration Agent Evaluation Frameworks Prometheus Grafana CI/CD MCP Servers Data Minimization

Sr. ML Engineer – ML & Applied AI

Gap Inc

Remote (San Francisco, CA) 33 days ago
Python scikit-learn XGBoost PyTorch TensorFlow FastAPI Kubernetes Docker AWS CI/CD Git SQL Spark Prometheus Grafana MLOps LLMs Vector databases RAG Agentic workflows
Remote

ML Engineer - Experimentation, Portal

Apple Inc

Cupertino, CA 31 days ago $147,400$272,100
React TypeScript JavaScript Docker AWS DataDog Splunk Python PostgreSQL Spring Boot Java 21 D3.js Chart.js A/B Testing CI/CD