Applied Machine Learning Research Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$150,400–$225,300 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $227k
This role $188k
$135k most similar roles pay here $293k

This role pays less than 80% of similar roles. Most pay $198,675–$254,750 — the shaded band above. At the midpoint, this role pays about $188k versus about $227k 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 2240 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1831 roles with salary data.

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At a glance

TL;DR · Applied Machine Learning Research Engineer

As an Applied Machine Learning Research Engineer within the Video Computer Vision group, you will work on cutting-edge research projects to advance AI and computer vision capabilities. You will be responsible for designing, implementing, and evaluating algorithms and models for human understanding while contributing to both foundational research and practical applications involving multimodal large language models. Your daily work involves integrating diverse data modalities such as text, image, video, and audio to solve complex problems in the machine learning domain. To succeed in this role, you must possess programming skills in Python and experience training or tuning multimodal LLMs. The position requires expertise in areas like computer vision, NLP, multimodal fusion, or Generative AI, along with proficiency in deep learning frameworks such as JAX or PyTorch to drive innovation in human-centric features.

What you'll do

  • Develop and explore multimodal large language models integrating text, image, video, and audio data.
  • Design, implement, and evaluate algorithms and models for human understanding.
  • Conduct cutting-edge research projects to advance AI and computer vision capabilities.
  • Train and tune multimodal LLMs using deep learning frameworks like JAX or PyTorch.
  • Develop real-time features such as face recognition and gesture control.
  • Translate foundational research into practical applications for consumer products.
  • Stay current on advancements in machine learning to drive internal innovation.

What we're looking for

  • Bachelor's degree and at least 3 years of relevant industry experience.
  • Experience in developing, training, and tuning multimodal LLMs.
  • Proficiency in Python programming.
  • Expertise in computer vision, NLP, multimodal fusion, or Generative AI (preferred).
  • Experience with deep learning frameworks such as JAX or PyTorch (preferred).
  • A record of publications in relevant venues (preferred).
  • PhD in Computer Science, Electrical Engineering, or a related field focused on AI, machine learning, or computer vision (preferred).

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