Machine Learning Engineer - AI & ML Evaluation Frameworks

Apple Inc

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $210k
$132k most similar roles pay here $287k

This role pays more than 50% of similar roles. Most pay $188,537–$246,150 — the shaded band above. At the midpoint, this role pays about $210k versus about $217k 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 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Engineer - AI & ML Evaluation Frameworks

As a Machine Learning Engineer at Apple’s Health Sensing Machine Learning Interpretability & Analytics team, you will play a pivotal role in developing scalable evaluation frameworks for both traditional ML systems and foundation models like LLMs. Your responsibilities include designing robust methodologies to assess performance, reliability, and safety, conducting deep-dive evaluations to identify failure points, and building synthetic data pipelines that adhere to Apple’s privacy standards. You will also create tools and metrics to ensure demographic equity across diverse populations and translate evaluation insights into actionable recommendations for algorithm teams. This role requires expertise in Python, proficiency in evaluating supervised, unsupervised, and LLM models, hands-on experience with failure analysis, and strong communication skills to bridge technical and non-technical audiences.

What you'll do

  • Design robust methodologies to assess the performance of traditional ML and foundation models.
  • Drive failure analysis to detect reasoning flaws and edge cases in ML systems.
  • Expand data generation pipelines for model training without exposing real user data.
  • Build tools to fuse asynchronous time-series signals from various sensors and sources.
  • Develop metrics to discover biases and measure demographic equity across diverse populations.
  • Translate evaluation results into actionable insights for engineering teams and clinical experts.

What we're looking for

  • 3+ years of experience in ML Engineering or Applied ML
  • Strong expertise in evaluating supervised, unsupervised, LLMs, and deep learning models
  • Proficiency in Python with production-grade coding skills (OOP, CI/CD, Git)
  • Hands-on experience in failure analysis and driving model improvements
  • Experience building data pipelines, inference frameworks, and automated evaluation systems
  • Strong communication skills for technical and non-technical audiences

More like this

Similar roles

Machine Learning Engineer (AI Foundations)

Capital One Financial

McLean, VA +1 11 days ago $135,600$154,800
Python Scala Java scikit-learn PyTorch Dask Spark TensorFlow distributed computing distributed file systems multi-node database paradigms data pipelines CI/CD

Machine Learning Engineer, ML/GenAI Evaluation

Apple Inc

Austin, TX 3 days ago
Python MLflow W&B Bayesian Causal Graphs Counterfactual Fairness Structural Causal Models Confidence Calibration Uncertainty Quantification AWS Kubernetes PostgreSQL CI/CD

Machine Learning Engineer, ML/GenAI Evaluation

Apple Inc

San Diego, CA 3 days ago $171,600$302,200
Python MLflow W&B Bayesian Causal graphs Confidence calibration Uncertainty quantification OCR pipelines Financial data extraction Fairness evaluation Distribution shift Temporal drift Adversarial testing Evaluation methodologies Structured document understanding Semi-structured document understanding Machine Learning Model evaluation

Machine Learning Engineer, ML/GenAI Evaluation

Apple Inc

New York City, NY 3 days ago $181,100$318,400
Python MLflow W&B Bayesian Causal graphs Confidence calibration Uncertainty quantification Fairness metrics Evaluation methodologies Adversarial testing Distribution shift Temporal drift OCR pipelines Financial data extraction Machine Learning Computer Science Statistics Applied Mathematics