Machine Learning Engineer, Visual Intelligence Technology

Apple Inc

Confirmed live today Trusted

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$216,200–$324,800 / yr
Posted
48 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $232k
This role $270k
$167k $342k
below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $208,406–$254,750 — the blue band above. At the midpoint, this role pays about $270k versus about $232k 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 3564 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2760 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Visual Intelligence Technology

The AIML - Machine Learning Engineer, Visual Intelligence Technology joins the Visual Intelligence Technology team to enhance user experiences powered by Apple Intelligence. This role involves performing large-scale machine learning and deep learning to improve Query Understanding and Ranking of search while developing fundamental building blocks for Artificial Intelligence. You will develop sophisticated models using word embeddings, online learning, and natural language processing to analyze petabytes of data and signals. Key responsibilities include collaborating with researchers to develop, fine-tune, and evaluate domain-specific Large Language Models and conducting applied research to transition generative AI into production-ready technologies. Required skills include expertise in information retrieval, data mining, and deep learning software packages like Keras, Tensorflow, and PyTorch to solve complex visual search and multimodal foundation model challenges.

What does a Machine Learning Engineer earn in California?

Median $236000 from 195 postings across 33 companies.

See salary data

What you'll do

  • Develop large-scale machine learning and deep learning models to improve search query understanding and ranking.
  • Build fundamental machine learning building blocks for artificial intelligence products.
  • Use word embeddings and deep learning to evaluate and improve the quality of search matches.
  • Implement online learning techniques to allow systems to react quickly to changing data.
  • Process petabytes of user data and signals to provide results that satisfy specific user intents.
  • Develop, fine-tune, and evaluate domain-specific Large Language Models for various AI-powered products.
  • Conduct applied research to transition generative AI breakthroughs into production-ready technologies.
  • Design and implement machine learning platforms, architectures, and algorithms.

What we're looking for

  • MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science, or a related field.
  • 7+ years of experience in machine learning, deep learning, information retrieval, natural language processing, or data mining.
  • 5+ years of experience in prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
  • Experience as a tech lead successfully leading a team to ship software to users.
  • Excellent knowledge and practical skills in designing ML platforms, architectures, or algorithms.
  • Strong interpersonal skills and the ability to work independently as well as in a team.
  • Experience with iOS/MacOS development (preferred).
  • Experience with deep learning software packages like Keras, Tensorflow, or PyTorch (preferred).

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