Video Machine Learning Engineer, Audio & Media Technologies

Apple Inc

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $142,300–$263,300 / yr
Posted: 148 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $228k

This role $203k

$126k most similar roles pay here $294k

This role pays less than 70% of similar roles. Most pay $200,975–$254,750 — the shaded band above. At the midpoint, this role pays about $203k versus about $228k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Video Machine Learning Engineer, Audio & Media Technologies

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Video Machine Learning Engineer, Audio & Media Technologies joins a team focused on developing machine learning technologies and systems that power intelligent video experiences across various products. In this role, you will design and develop novel neural network architectures for video processing, compression, understanding, and enhancement. You will be responsible for training and evaluating deep learning models using large-scale datasets, optimizing these models for efficient deployment on hardware while balancing quality and latency, and integrating end-to-end pipelines into products. The role requires proficiency in Python or C/C++, experience with PyTorch or TensorFlow, and expertise in computer vision and video processing techniques. You will address technical challenges involving video codec standards like H.264 and AV1, as well as advanced research areas such as diffusion models for synthesis and neural compression to improve video quality and delivery.

Skills

Machine Learning Deep Learning Neural Networks Python C++ PyTorch TensorFlow Computer Vision Video Processing H.264 H.265/HEVC AV1 VVC Diffusion Models

What you'll do

Design and develop novel machine learning algorithms and neural network architectures for video processing, compression, and enhancement.
Train, evaluate, and iterate on deep learning models using large-scale datasets to achieve state-of-the-art performance.
Optimize machine learning models for efficient deployment on Apple hardware while balancing quality, latency, and resource constraints.
Implement and integrate end-to-end machine learning pipelines into Apple products and frameworks.
Investigate and prototype emerging research techniques to solve complex video-related challenges.
Analyze and benchmark model performance using rigorous metrics to drive continuous improvement in quality and efficiency.
Document technical designs, experimental results, and best practices for team knowledge sharing and reproducibility.

What we're looking for

Bachelor's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field.
Master's or PhD in Computer Science, Electrical Engineering, or Machine Learning with a focus on video or visual computing.
Strong foundation in deep learning and neural network design including building, training, and deploying models.
Proficiency in PyTorch or TensorFlow.
Experience with computer vision and image/video processing techniques.
Programming proficiency in Python and/or C/C++.
Knowledge of video codecs (H.264, H.265/HEVC, AV1, VVC) and ML-based neural compression.
Experience optimizing and deploying neural networks on edge devices or mobile platforms.

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