Sr. ML Engineer, Siri User Experience Metrics and Data

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
56 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k
This role $250k
$148k most similar roles pay here $337k

This role pays more than 88% of similar roles. Most pay $198,800–$247,950 — the shaded band above. At the midpoint, this role pays about $250k versus about $223k for comparable roles.

Based on 239 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 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

TL;DR · Sr. ML Engineer, Siri User Experience Metrics and Data

As a Senior Machine Learning Engineer on the Siri User Experience Metrics team, you will design and implement scalable systems to transform raw data into actionable insights for leadership, focusing on building an automated anomaly detection platform to identify performance regressions in Siri. You will work closely with product, platform, and feature teams to ensure that Siri delivers exceptional user experience across all Apple platforms. Your responsibilities include defining technical roadmaps, developing key features for high-quality alerting systems, and mentoring team members while communicating progress to senior leadership. The role requires advanced skills in Python (pandas, scikit-learn), deep learning frameworks like PyTorch or TensorFlow, and distributed processing tools such as PySpark. Experience with large language models and their deployment on various environments is essential, along with a strong background in unsupervised learning methods and time series modeling.

What you'll do

  • Design and implement scalable systems to transform raw data into actionable insights for leadership.
  • Build and improve an automated anomaly detection system to identify regressions in Siri performance.
  • Define technical roadmaps and execute efficiently on key features for high-quality alerting systems.
  • Collaborate with cross-functional teams to gather feature requirements and define technical strategies.
  • Represent the team technically, communicating progress and deliverables across peer groups and leadership.
  • Mentor and onboard team members while leading them to achieve high-impact outcomes in Siri user experience.

What we're looking for

  • Master’s degree with 8+ years or Ph.D. with 5+ years in machine learning.
  • Strong expertise in unsupervised learning methods and feature engineering.
  • Advanced Python skills including pandas, scikit-learn, and deep learning frameworks.
  • Experience with distributed processing frameworks like PySpark for ML model training.
  • Ability to fine-tune large language models and deploy optimized models on-premise or devices.
  • Proven ability to set technical vision and lead complex projects in cross-functional teams.

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