Machine Learning Research Engineer, Generative AI

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
89 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 53% of similar roles. Most pay $177,762–$236,900 — the shaded band above. At the midpoint, this role pays about $210k versus about $207k 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 · Machine Learning Research Engineer, Generative AI

Join our dynamic applied machine learning team in Cupertino as a Machine Learning Research Engineer, focusing on generative AI technologies. You will contribute to the development of intelligent features that enhance user experiences across Apple platforms, working closely with experts to ideate and productize cutting-edge solutions such as handwriting recognition, text synthesis, and document understanding. Ideal candidates possess advanced degrees in computer science or related fields, along with industry experience in building ML-based product features including generative models and multimodal LLMs. Proficiency in programming languages like C++, Python, and familiarity with frameworks such as PyTorch and TensorFlow are essential, alongside strong Unix, iOS, or macOS development skills. This role demands creativity, innovation, and the ability to navigate complex challenges while delivering high-quality solutions that scale globally.

What you'll do

  • Develop innovative machine learning methods for core technologies like handwriting recognition and synthesis.
  • Participate in the full development cycle from ideation to productization of intelligent features.
  • Apply modern ML techniques to solve complex problems related to document understanding and freeform drawing generation.
  • Collaborate on building next-generation products using generative AI and multimodal large language models.
  • Utilize programming languages such as C++, Python, or Swift for developing machine learning solutions.

What we're looking for

  • PhD or MSc in Computer Science, Engineering, or a related field.
  • Industry experience in ML product features including generative models.
  • Expertise in image processing, computer vision, speech recognition, NLP.
  • Strong programming skills with proven track record in debugging and design.
  • Experience with ML toolchains like PyTorch, TensorFlow, or JAX.

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