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Summer Machine Learning Hardware Jobs (NOW HIRING)

As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera ...

Machine Learning Engineer

Dorchester, MA · On-site

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... You'll collaborate with leading researchers, hardware experts, and software engineers to build ...

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... You'll collaborate with leading researchers, hardware experts, and software engineers to build ...

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... You'll collaborate with leading researchers, hardware experts, and software engineers to build ...

Optimize inference performance, model compression, and deployment across various hardware platforms ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

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Summer Machine Learning Hardware information

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$48

How much do summer machine learning hardware jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for summer machine learning hardware in the United States is $24.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Summer Machine Learning Hardware vs Summer Data Scientist?

AspectSummer Machine Learning HardwareSummer Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of hardware design and programmingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and programming
Work EnvironmentHardware labs, R&D centers, tech companies focusing on AI hardwareOffice settings, research labs, tech companies analyzing data and building models
Industry UsageAI hardware development, embedded systems, hardware acceleration for MLData analysis, predictive modeling, AI application development

Summer Machine Learning Hardware roles focus on designing and optimizing hardware for machine learning applications, requiring technical skills in hardware engineering. In contrast, Summer Data Scientist positions involve analyzing data, building models, and deriving insights. Both roles are essential in AI development but differ in their technical focus and work environment.

What cities are hiring for Summer Machine Learning Hardware jobs? Cities with the most Summer Machine Learning Hardware job openings:
What are the most commonly searched types of Machine Learning Hardware jobs? The most popular types of Machine Learning Hardware jobs are:
What states have the most Summer Machine Learning Hardware jobs? States with the most job openings for Summer Machine Learning Hardware jobs include:
Camera Machine Learning Engineer

Camera Machine Learning Engineer

Apple

San Francisco, CA • On-site

Full-time

Posted 3 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Are you a passionate Machine Learning Engineer with a deep love for photography? Join Apple's Camera Hardware Engineering team and help us redefine the camera experience for millions of users worldwide. As a key player in our innovative team, you will collaborate closely with hardware, software, and image processing specialists to develop cutting-edge camera technologies.
As a Machine Learning Engineer in the Camera Hardware Engineering group you will be responsible for all research, design, development, test, and qualification of camera hardware for Apple products. This team is seeking an experienced Machine Learning Engineer with a background in Camera and image sensor technologies. You will bring your expertise to the team and be responsible for ongoing design, evaluation, benchmarking and characterization of Apple camera products.
Bachelor's degree in Computer Science, Electrical Engineering, Physics, Optics, or a related fieldExperience with Python programming and deep learning frameworks like PyTorchExperience with machine learning and computer vision principles, and algorithms.Experience with camera and/or image sensor technologies.
MS or Ph.D. in Machine Learning, EE, CS, Physics, Optics, or equivalent and 3+ years of experience in machine learning research or relevant industry experienceExperience with applying deep learning to various computer vision tasks, such as: Object recognition, Image segmentation, Inpainting, and Anomaly detectionExperience in applying generative AI and reinforcement learning techniques to enhance hardware design processes. Experience with using advanced ML methods to optimize system architectures and improve image quality in the hardware design domain.Experience with image quality metrics and evaluation methodologyExperience with camera components, functions, and the camera ISP pipelineExperience with megapixel CMOS image sensor technology, lens selection, and qualification

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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