Machine Learning Engineer, Visual Intelligence Technology

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $231k
This role $255k
$158k $343k
below market most similar roles pay here above market

This role pays more than 86% of similar roles. Most pay $206,793–$254,750 — the blue band above. At the midpoint, this role pays about $255k versus about $231k for comparable roles.

Based on 240 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Visual Intelligence Technology

AIML - Machine Learning Engineer, Visual Intelligence Technology joins the Visual Intelligence Technology team to develop user experiences powered by Apple Intelligence. The role involves exploring how large-scale models understand and reason about complex visual scenes, designing and building large-scale training pipelines, and performing experiments at scale. You will collaborate with researchers and data scientists to develop, fine-tune, and evaluate domain-specific LLMs for various tasks and applications in AI-powered products. This position also involves conducting applied research to transfer generative AI research into production-ready technologies. Required skills include deep learning, information retrieval, natural language processing, and data mining. Candidates should possess practical skills in designing ML platforms, architectures, or algorithms, and experience with software packages like Keras, Tensorflow, or PyTorch.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

See salary data

What you'll do

  • Explore how large-scale models understand and reason about complex visual scenes.
  • Design and build large-scale training pipelines for machine learning models.
  • Perform large-scale experiments to advance visual intelligence and multimodal foundation models.
  • Develop, fine-tune, and evaluate domain-specific LLMs for various product applications.
  • Conduct applied research to transfer generative AI breakthroughs into production-ready technologies.
  • Design machine learning platforms, architectures, and algorithms for user-facing features.
  • Develop data collection, annotation, and management tooling for large language models.

What we're looking for

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

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