AIML - Sr Machine Learning Engineer - Data and ML Innovation

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
64 days ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $210k
$132k most similar roles pay here $287k

This role pays more than 55% of similar roles. Most pay $180,501–$246,150 — the shaded band above. At the midpoint, this role pays about $210k versus about $213k 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 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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Join Apple’s AI and Machine Learning organization as a Senior Machine Learning Engineer on the Data and Machine Learning Innovation (DMLI) team, where you will drive groundbreaking research in multi-modal models with a focus on audio data. Your day-to-day responsibilities include designing and developing comprehensive frameworks for pre-training large-scale unlabeled audio corpora, fine-tuning task-specific datasets, and building robust evaluation pipelines to ensure continuous improvement of ML models. You will collaborate closely with researchers and engineers to innovate new methods in self-supervised learning, active learning, and data distribution modeling, significantly impacting future Apple products. Essential skills include deep expertise in machine learning areas like audio processing, proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, and a track record of developing and evaluating ML applications. This role offers the opportunity to publish and present at top academic venues while addressing real-world challenges on a global scale.

Skills

Python PyTorch TensorFlow JAX AWS CI/CD MLOps Docker Kubernetes PostgreSQL Git GitHub CVPR ICCV ECCV NeurIPS ICML ICLR

What you'll do

  • Design and develop multi-modal data generation and curation frameworks for foundation models.
  • Create comprehensive model evaluation pipelines to support continuous improvement and performance assessment.
  • Analyze multi-modal data to understand its influence on model behavior and outcomes.
  • Develop self-supervised and semi-supervised representation learning pipelines for tasks like speech recognition.
  • Apply data selection techniques such as novelty detection and active learning across modalities to improve efficiency.

What we're looking for

  • 5+ years of experience developing and evaluating machine learning applications.
  • Proficiency in Python with hands-on experience using deep learning toolkits like PyTorch or TensorFlow.
  • Deep technical skills in areas such as audio processing, natural language processing, and deep learning.
  • Ability to design, experiment, implement, and communicate ML solutions effectively across multi-functional teams.
  • Strong understanding of multi-modal foundation models and emerging trends in generative AI.
  • Demonstrated ability to formulate machine learning problems and publish research in top-tier conferences.

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