AIML - Sr Machine Learning Engineer, Data and ML Innovation

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$302,200 / yr
Posted
97 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k
This role $237k
$143k most similar roles pay here $319k

This role pays more than 76% of similar roles. Most pay $184,031–$236,900 — the shaded band above. At the midpoint, this role pays about $237k versus about $210k 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 · AIML - Sr Machine Learning Engineer, Data and ML Innovation

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As a Senior Machine Learning Engineer at Apple’s Data and ML Innovation team, you will collaborate with researchers and data scientists to develop cutting-edge machine learning solutions that address complex data challenges. Your daily tasks include designing and implementing synthetic data generation techniques for vision, text, and audio domains, as well as creating robust evaluation pipelines for foundation models. You will work on a multidisciplinary team to co-design data-model systems and contribute to the development of large-scale AI experiments through automation tools. The role requires expertise in computer vision, natural language processing, and multi-modal machine learning, with proficiency in Python, PyTorch, or Jax. Ideal candidates have a strong publication record in top-tier conferences and experience with multimodal models, making significant contributions to Apple’s ambitious projects aimed at transforming the ML landscape globally.

Skills

Python PyTorch Jax CVPR ICCV ECCV NeurIPS ICML ICLR Computer_Vision Natural_Language_Processing MLOps CI/CD Git Docker Kubernetes AWS GCP Azure

What you'll do

  • Develop high-quality synthetic datasets for vision, text, and audio domains.
  • Innovate new approaches to enhance diversity and realism of synthetic data.
  • Design automated pipelines for large-scale synthetic data generation.
  • Implement semi-supervised learning techniques for limited labeled data.
  • Build robust evaluation frameworks for continuous model improvement.

What we're looking for

  • Demonstrated expertise in computer vision and natural language processing with hands-on experience in machine learning.
  • Deep understanding of multi-modal foundation models and emerging trends in generative AI.
  • Strong programming skills using Python, PyTorch, or Jax for developing ML applications.
  • Experience in developing and evaluating ML applications, focusing on data quality improvement.
  • Publication record in top-tier conferences such as CVPR, NeurIPS, ICML, ICLR.

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