AIML - Machine Learning Engineer, MIND

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$258,100 / yr
Posted
88 days ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $199k
$125k most similar roles pay here $272k

This role pays less than 61% of similar roles. Most pay $178,834–$236,900 — the shaded band above. At the midpoint, this role pays about $199k versus about $208k 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 - Machine Learning Engineer, MIND

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As a Machine Learning Engineer at the senior level within Apple’s MIND team, you will contribute to both short-term product enhancements and long-term ambitious projects by innovating across the entire end-to-end ML production pipeline. Your daily tasks include developing features and models that enhance system capabilities, scaling up model training processes, building efficient data pipelines, and implementing cutting-edge machine learning algorithms. You will work with deep learning frameworks like PyTorch and Python to create high-quality software solutions that accelerate experimentation rates. The role requires expertise in defining metrics, evaluating ML models, and conducting error analysis, as well as familiarity with recent advancements in deep learning. Ideal candidates possess experience in vision problem modeling and HW/SW co-design for efficient model building, along with a strong curiosity and eagerness to tackle complex challenges in a rapidly evolving field.

Skills

Python PyTorch deep learning model training data pipelines error analysis object detection facial recognition temporal machine learning HW/SW co-design datasets metrics

What you'll do

  • Develop machine learning features and models to enhance system capabilities.
  • Scale model training processes and build efficient data pipelines for performance improvement.
  • Implement advanced machine learning algorithms to push technological boundaries.
  • Create software solutions that accelerate the rate of experimentation in ML projects.
  • Define metrics, evaluate models, and conduct error analysis to refine machine learning systems.

What we're looking for

  • Proficient in Python and deep learning frameworks like PyTorch.
  • Experience training ML models, including deep learning based models.
  • Ability to define metrics, evaluate ML models, and perform error analysis.
  • Familiarity with recent advances in deep learning.
  • Bachelor's, Master's, or PhD in Computer Science or a related field.
  • Experience shipping ML features and products.

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AIML - Machine Learning Engineer - Computer Vision & Audio, MIND

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Seattle, WA 83 days ago $139,500–$258,100
Python PyTorch Spark Airflow GANs Data observability Automated data validation Statistical methods Metric change analysis Performance monitoring Deep learning frameworks Unstructured data processing Video signal processing Audio signal processing Object detection Pattern recognition Feature extraction Segmentation
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