Sr. Machine Learning Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$181,100–$272,100 / yr
Posted
31 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k
This role $227k
$160k most similar roles pay here $284k

This role pays more than 60% of similar roles. Most pay $174,800–$249,750 — the shaded band above. At the midpoint, this role pays about $227k versus about $212k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR · Sr. Machine Learning Engineer

As a Senior Machine Learning Engineer on Apple’s Answers, Knowledge and Information Team, you will contribute to the development of next-generation machine learning solutions for Knowledge Q&A features like Siri, Safari, and Spotlight. Your daily tasks include leveraging advanced ML techniques to understand user queries, retrieve and rank documents, and generate helpful answers while also focusing on internationalization and safety aspects. You will work with Go or other object-oriented languages alongside PyTorch, TensorFlow, or JAX for model training and deployment. The role requires a deep understanding of product requirements and the ability to translate them into actionable modeling and engineering tasks, ideally complemented by experience in search ranking, relevance, recommendation systems, and information retrieval.

What you'll do

  • Develop software in Go or other object-oriented languages for machine learning models.
  • Translate product requirements into modeling tasks and engineering tasks effectively.
  • Utilize PyTorch, TensorFlow, or JAX to train and deploy deep learning models.
  • Work on search ranking, relevance, recommendation, or information retrieval systems.
  • Implement cloud-native deployment solutions using Kubernetes or similar technologies.

What we're looking for

  • 3+ years of software development experience
  • Proficiency in Go or another object-oriented programming language
  • Expertise in PyTorch, TensorFlow, or JAX for deep learning model training and deployment
  • Ability to translate product requirements into modeling and engineering tasks
  • BS degree in Computer Science, AI, Machine Learning, Information Retrieval, Data Science, or related field

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