Machine Learning Algorithm Engineer - Auto Focus

Apple Inc

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $139,500–$258,100 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k

This role $199k

$125k most similar roles pay here $277k

This role pays less than 62% of similar roles. Most pay $194,500–$246,875 — the shaded band above. At the midpoint, this role pays about $199k versus about $221k 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 · Machine Learning Algorithm Engineer - Auto Focus

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Join Apple's Camera Algorithm team as a senior Machine Learning Engineer and drive the development of advanced machine learning-based auto-focus technologies for real-time photographic and cinematic experiences across all camera products. You will lead the end-to-end architecture and productization of novel AF algorithms, working independently to define the long-term ML roadmap while collaborating with SOC design, hardware, and firmware teams to optimize system-level flows. Your responsibilities include leveraging Apple’s proprietary hardware like ANE, ISP pipelines, TrueDepth Camera, and LiDAR Scanner to create cutting-edge solutions that redefine auto-focus capabilities in various lighting conditions. Ideal candidates possess expertise in PyTorch or TensorFlow/TFLite/LiteRT, strong software engineering skills, and experience with low-level vision tasks such as dataset curation and data augmentation for robust training.

Skills

PyTorch TensorFlow Python C CVPR ICCV ECCV Apple Neural Engine Image Signal Processor TrueDepth Camera LiDAR Scanner Optics Modulation Transfer Function Spatial Frequency Response Acutance Blur Estimation Dataset Curation Data Augmentation Machine Learning Frameworks Computer Vision

What you'll do

Develop advanced machine learning-based auto-focus algorithms for Apple's camera products.
Design novel learning systems integrated on Apple camera platforms to enhance user experience.
Lead the creation of sophisticated architecture, training, and tooling for ML-based AF features.
Influence future silicon designs by partnering with SOC architecture teams for AF improvements.
Evaluate new camera components and optimize system-level flows for machine learning algorithms.

What we're looking for

MS in Computer Science, Machine Learning, Electrical Engineering, or related field.
Experience defining datasets for machine learning network training on low-level vision tasks.
Expertise in modern ML frameworks like PyTorch or TensorFlow/TFLite/LiteRT.
Strong software engineering skills with proficiency in Python and C.
Practical experience in machine learning for computer vision applications such as auto-focus.
Knowledge of optics principles and image quality metrics impacting sharpness evaluation.

Hybrid

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Machine Learning Engineer

Austin, TX 50 days ago

Python TensorFlow PyTorch scikit-learn R Java cloud platforms scalable computing resources machine learning pipelines data analysis statistics optimization probability theory experimental methodologies CI/CD

Hybrid

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