Senior Machine Learning Engineer (Generative AI)

Apple Inc

Quick summary

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

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k
This role $227k
$160k most similar roles pay here $284k

This role pays more than 61% of similar roles. Most pay $182,368–$246,150 — the shaded band above. At the midpoint, this role pays about $227k versus about $214k 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 · Senior Machine Learning Engineer (Generative AI)

As a Senior Machine Learning Engineer specializing in Generative AI, you will join a world-class team to develop cutting-edge solutions that enhance user experiences. Your role involves converting high-level goals into measurable requirements by proposing, implementing, evaluating, and shipping innovative AI/ML technologies. You will collaborate closely with engineering teams and designers to architect scalable systems for real-world applications. Ideal candidates have 5+ years of experience in building large-scale ML systems, particularly in generative AI models like Transformers or LLMs, and possess strong programming skills with tools such as PyTorch, TensorFlow, and Spark. You will work with large datasets, drive metrics-based improvements, and deliver high-quality user-facing results, contributing to the advancement of our innovative product area.

What you'll do

  • Design and implement large-scale machine learning systems using advanced frameworks like PyTorch and TensorFlow.
  • Propose and evaluate innovative AI technologies to enhance data quality and user-facing features.
  • Collaborate with engineering teams to integrate ML solutions into existing systems architecture.
  • Dive deep into real-world datasets to develop robust, high-quality models for production use.
  • Continuously improve machine learning models based on performance metrics and user feedback.

What we're looking for

  • 5+ years of experience building large-scale machine learning systems
  • Expertise in generative AI models (Transformers, LLMs, VLMs) or computer vision/knowledge graph
  • Experience with large-scale real-world datasets and metrics-driven model development
  • Proficiency in PyTorch, TensorFlow, Scikit-learn, and big data technologies like Spark
  • Familiarity with cloud platforms such as AWS, GCP, or Azure
  • Masters or PhD degree in Machine Learning, Computer Science, or related fields

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