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Neural Magic Jobs in California (NOW HIRING)

... deliver magical experiences that surprise and delight our customers! The Camera Technologies ... Our team also designs traditional ML algorithms that run directly on the Apple Neural Engine (ANE)

... deliver magical experiences that surprise and delight our customers! The Camera Technologies ... Our team also designs traditional ML algorithms that run directly on the Apple Neural Engine (ANE ...

... neural networks running on-device. Privacy First What happens in the home, stays in the home. Our ... magic to users * Closely collaborate with our Design, Software, Algorithms, and Hardware teams to ...

Patent Counsel

San Francisco, CA · On-site

$175K - $200K/yr

... Neural Network) architectures are defensible, timestamped, and protected. What You'll Do * Code ... magic" and the USPTO. * Portfolio Strategy: Manage our global IP portfolio, working with our ...

... neural networks running on-device. Privacy First What happens in the home, stays in the home. Our ... magic to users * Closely collaborate with our Design, Software, Algorithms, and Hardware teams to ...

Systems Engineer (Rust)

Menlo Park, CA · On-site

$120K - $200K/yr

... neural networks running on-device. Privacy First What happens in the home, stays in the home. Our ... Enable very fast robot and device data transfer protocols that feel like magic to users, including ...

... neural network-based perception algorithms. You are passionate about what you build, you feel a ... We're focused on delighting our customers with systems that work like magic. We have a highly ...

... neural network-based perception algorithms. You are passionate about what you build, you feel a ... We're focused on delighting our customers with systems that work like magic. We have a highly ...

Neural Magic information

What is the difference between Neural Magic vs Data Scientist?

AspectNeural MagicData Scientist
Required CredentialsBackground in machine learning, deep learning, and software engineeringDegree in statistics, computer science, or related field; often includes certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI hardware and software optimizationBusiness, finance, healthcare, and tech sectors analyzing data to inform decisions
Employer & Industry UsageUsed by companies developing AI hardware/software solutionsEmployed across industries for data analysis, modeling, and insights

Neural Magic professionals focus on optimizing AI hardware and software, often requiring technical expertise in machine learning and software engineering. Data Scientists analyze data to generate insights, typically with backgrounds in statistics and data analysis. While both roles involve AI and data, Neural Magic is more hardware/software development-oriented, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Neural Magic jobs in California?

For Neural Magic jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Neural Magic jobs?

Cities in California with the most Neural Magic job openings:

Camera Image Processing Engineer

Cupertino, CA • On-site


Apple
Computer and Electronic Product Manufacturing • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

People enjoy working here

Good employer

Recommended by students


Full-time

Posted 25 days ago


Job description

iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos which deliver magical experiences that surprise and delight our customers!
The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean up the image, giving our industrial design teams more freedom when designing our hardware, confident that your work will still give a high quality image in the end.
Description
We are looking for candidates with some basic image processing experience, and some familiarity with writing code on GPUs. In this role you will help to analyze raw sensor data, identify issues, and propose algorithms to handle any problems. You can be called upon to fix problems arising from sensors, optics or control systems (such as auto focus and optical image stabilization). As such we do not expect you to be an expert on these things - there are too many to know them all! But we are looking for candidates with a demonstrated capability for creative thinking and quick learning. We increasingly use GenAI tools to help accelerate coding, but every change goes through a human review layer, so strong engineering judgment matters as much as raw output. Our team also designs traditional ML algorithms that run directly on the Apple Neural Engine (ANE).
Minimum Qualifications
Strong programming skills, particularly on Apple platforms - notably Swift, Metal, and Objective-C.
Some experience with image processing algorithms implemented on GPUs.
Graphics programming experience - comfortable working directly with pixels.
Exposure to machine learning, particularly as applied to image processing.
M.S. or Ph.D. in Imaging, Color, Vision, Computer, Optics Science, EE, or equivalent with 3+ years of experience in a related field.
Preferred Qualifications
An understanding of photography and what makes an image look good or bad. Photography in challenging conditions, such as low-light or high movement is particularly useful.
Experience with an existing camera image processing pipeline.
Strong experience with optimizing GPU workloads to run efficiently.
Experience with performance-oriented, high-throughput compute.
A demonstrated track record of algorithm development - solving novel problems rather than applying known recipes.
Experience designing or deploying traditional ML algorithms that run on the Apple Neural Engine (ANE).

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976


What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

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