Sr. ML Infrastructure Engineer, Siri Runtime Systems and Interaction

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$258,100 / yr
Posted
56 days ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $215k
$148k most similar roles pay here $285k

This role pays more than 60% of similar roles. Most pay $194,000–$237,800 — the shaded band above. At the midpoint, this role pays about $215k versus about $216k for comparable roles.

Based on 239 similar postings.

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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 Infrastructure Engineer, Siri Runtime Systems and Interaction

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As a Senior ML Infrastructure Engineer on the Siri Attention and Invocation team, you will play a pivotal role in developing the data and infrastructure ecosystem that supports machine learning development for Apple’s intelligent assistant. Your responsibilities include designing and implementing robust services and tools to enhance the efficiency of ML workflows, working closely with cross-functional teams such as ML Modeling, Infrastructure, Software, Hardware, and Operations. You will leverage Python, Docker, cloud infrastructure, and Apache Spark to build scalable solutions that continuously improve Siri's features and user experience. With a strong background in computer science and expertise in software service stacks, you will contribute to the end-to-end lifecycle of data products, from conception through deployment and maintenance, ensuring seamless integration and optimization of ML systems at scale.

Skills

Python Docker Cloud Infrastructure Spark Airflow Kubeflow

What you'll do

  • Design and implement data infrastructure for ML development processes.
  • Develop and debug software service stacks using Python, Docker, and cloud technologies.
  • Collaborate with ML Modeling teams to create end-to-end solutions for Siri features.
  • Maintain and optimize existing ML systems to enhance performance and efficiency.
  • Work on complex problems related to ML system design and deployment.

What we're looking for

  • At least 4+ years of relevant industry experience in computer science.
  • Strong background in algorithms, data structures, and system design.
  • Expertise in Python, Docker, cloud infrastructure, and Spark.
  • Proficient in developing and debugging software service stacks.
  • Excellent interpersonal skills for independent and cross-functional work.

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