Staff Data Science Engineer, Siri Runtime Systems and Interaction

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
99 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $250k
$127k most similar roles pay here $339k

This role pays more than 93% of similar roles. Most pay $162,000–$226,337 — the shaded band above. At the midpoint, this role pays about $250k versus about $194k 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 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 · Staff Data Science Engineer, Siri Runtime Systems and Interaction

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Join the Siri Attention and Invocation team as a Staff Data Science Engineer and lead the development of advanced machine learning solutions that enhance user interaction with Apple products. You will mentor junior engineers, establish best practices for model validation, and drive technical decisions across large-scale systems. Collaborate closely with product, engineering, and business teams to identify high-impact opportunities where data science can deliver significant value. Stay at the forefront of emerging technologies while contributing to the company’s technical vision and strategy. Ideal candidates hold an MS or PhD in a relevant field and have over five years of experience in data science or machine learning. Expertise in Python, R, SQL, and big data technologies like Spark is essential, along with leadership skills and strong communication abilities to explain complex concepts clearly.

Skills

Python R Spark Hadoop AWS GCP Azure TensorFlow PyTorch scikit-learn Airflow Kubeflow SQL

What you'll do

  • Lead complex data science projects from conception through production.
  • Establish and enforce best practices for model validation and monitoring.
  • Drive technical decisions and architecture for ML/AI initiatives.
  • Identify high-impact opportunities where data science can drive business value.
  • Mentor junior team members and shape the data science roadmap.

What we're looking for

  • MS or PhD in Computer Science, Statistics, Mathematics, or related field.
  • 5+ years of experience in data science, machine learning, or a related field.
  • Expert proficiency in Python and/or R with deep knowledge of ML algorithms.
  • Strong SQL skills and hands-on experience with big data technologies like Spark.
  • Proven leadership in technical projects and mentoring junior team members.
  • Excellent communication skills to explain complex technical concepts clearly.

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