Machine Learning Engineer, Siri Attention & Invocation

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$220,900 / yr
Posted
56 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $219k
This role $184k
$134k most similar roles pay here $275k

This role pays less than 78% of similar roles. Most pay $192,762–$246,150 — the shaded band above. At the midpoint, this role pays about $184k versus about $219k 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 · Machine Learning Engineer, Siri Attention & Invocation

Join the Siri Attention & Invocation team as a Machine Learning Engineer, where you’ll develop frictionless voice invocation experiences on Apple’s devices. Your day-to-day involves building end-to-end model training and evaluation pipelines, deploying machine-learned models that respect user privacy, and collaborating with cross-functional teams to enhance Siri’s conversational capabilities. You will focus on improving ML infrastructure for efficient research and agile deployment processes, ensuring high-quality standards across all Apple products. Ideal candidates have 3-5 years of experience in scalable ML technologies, proficiency in deep learning frameworks like PyTorch or TensorFlow, and strong software engineering skills with a background in speech recognition. This role demands expertise in Python, C/C++, and automation tools such as PySpark and Airflow, along with the ability to innovate within on-device computation constraints.

What you'll do

  • Develop and advance frictionless voice invocation experiences on Apple devices.
  • Build end-to-end model training and evaluation pipelines for Siri interactions.
  • Collaborate with researchers to integrate advanced ML technologies into Siri.
  • Improve ML training infrastructure for enhanced research efficiency and scalability.
  • Define new metrics to measure the impact of deployed models post-release.

What we're looking for

  • 3-5 years of experience with scalable machine learning technologies
  • Strong background in machine learning, deep learning, and speech recognition
  • Proficiency in PyTorch, TensorFlow, C/C++, Python, and automation tools like PySpark, Airflow
  • Ability to analyze data for anomalies and conduct error/deviation analyses
  • Outstanding problem-solving skills and effective communication in multi-functional teams

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