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From Home Embedded Machine Learning Jobs (NOW HIRING)

... want to hear from you! - Partner with business and product teams to identify high-impact ... shared AI platform and embedded across products- Design, build, and own end-to-end GenAI ...

You may have the flexibility to work from home one or more days per week. This position will be ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

The role of Machine Learning Engineer involves working in a dynamic research environment and ... Embedded Software development. • At least 3 years of work experience in a relevant field. • ...

... from you! Description - Partner with business and product teams to identify high-impact ... shared AI platform and embedded across products - Design, build, and own end-to-end GenAI ...

The role of Machine Learning Engineer involves working in a dynamic research environment and ... Embedded Software development. • At least 3 years of work experience in a relevant field. • ...

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference) * Familiarity with ...

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How much do from home embedded machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for from home embedded machine learning in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.
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Machine Learning Engineer, Camera & Photos

Machine Learning Engineer, Camera & Photos

Apple

Cupertino, CA

Full-time

Posted 27 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Do you have a passion for building the best photos app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Photos Intelligence team in Camera & Photos develops privacy-respecting, Artificial Intelligence (AI) and Machine Learning (ML) technologies to ship Photos features and emotional experiences to hundreds of millions of users worldwide. We are looking for a Machine Learning Engineer to join our team and be a part of this mission.
In this role, you will be working on applications of generative AI models and algorithms for Apple Intelligence features. Candidates should have a proven track record that demonstrates a deep understanding of AI and ML algorithms, a passion for designing and developing high-quality software, strong collaboration, and excellent interpersonal skills.
Solid foundation in machine learning and deep learning principlesHands on experience with large language models (LLMs), prompt optimization, and fine tuning of LLMsStrong programming and software engineering experience in one or more of the following languages: Python, C, C++, SwiftBachelor's or Master's in Computer Science, Electrical Engineering, Applied Mathematics, or a related field
Experience optimizing Machine Learning and Deep Learning algorithms for embedded systemsExperience with large vision-language and multi-modal foundation models

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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