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Urgently Hiring Apple Machine Learning Engineer Jobs

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

The people here at Apple don't just create products - they build the kind of wonder that ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive ... Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined ...

Machine Learning Engineer

Austin, TX · On-site

$132.10K - $244.60K/yr

The people here at Apple don't just create products - they build the kind of wonder that ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

The people here at Apple don't just create products - they build the kind of wonder that ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

The people here at Apple don't just create products - they build the kind of wonder that ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

... other Apple products. As part of our machine learning team, you will play a vital role in ... Preferred Qualifications MS/PhD in computer vision, electrical, optical or computer engineering or ...

Apple Maps and the thousands of applications it empowers are being used by millions every single ... We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ...

Machine Learning Engineer (Search)

Cupertino, CA · On-site

$147.40K - $220.90K/yr

Apple Maps and the thousands of applications it empowers are being used by millions every single ... We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ...

... other Apple products. As part of our machine learning team, you will play a vital role in ... MS/PhD in computer vision, electrical, optical or computer engineering or related fields.Experience ...

At Apple, great ideas have a way of becoming great products, services, and customer experiences ... As a Machine Learning Engineer on our core AI/ML team, you will design and build GenAI-powered ...

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

Machine Learning Engineer

San Diego, CA · On-site

$139.50K - $258.10K/yr

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

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Urgently Hiring Apple Machine Learning Engineer information

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How much do urgently hiring apple machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for urgently hiring apple machine learning engineer in the United States is $96,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $110,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apple Machine Learning Engineer, and why are they important?

To thrive as an Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, often supported by a relevant degree and experience with model development. Proficiency with Python, TensorFlow or PyTorch, and familiarity with macOS/iOS development tools like Core ML are typically required. Strong problem-solving, collaboration, and communication skills help engineers to innovate and work effectively across multidisciplinary teams. These competencies are crucial for driving impactful AI solutions that enhance Apple’s products and user experiences.

What are common collaboration practices for Apple Machine Learning Engineers working on product teams?

Apple Machine Learning Engineers typically collaborate closely with cross-functional teams, including software engineers, product managers, and data scientists. Collaboration often involves regular meetings to align on project goals, integrating machine learning models into production systems, and jointly troubleshooting issues that arise during development. Engineers are encouraged to share findings and best practices, leveraging Apple's internal tools and documentation to ensure that models are robust, scalable, and meet Apple's privacy standards. The work environment emphasizes innovation, open communication, and a high standard of quality, which means collaboration is both structured and dynamic.

What does an Apple Machine Learning Engineer do?

An Apple Machine Learning Engineer designs, builds, and deploys machine learning models and algorithms that enhance Apple’s products and services. They collaborate with cross-functional teams to develop innovative solutions, optimize existing machine learning systems, and ensure models run efficiently on Apple hardware and software platforms. Their work includes data analysis, model training, and performance tuning, often focusing on privacy, scalability, and user experience.

What is the difference between Urgently Hiring Apple Machine Learning Engineer vs Apple Data Scientist?

AspectApple Machine Learning EngineerApple Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, deploying AI solutions, coding in Python, TensorFlowAnalyzing data, creating reports, statistical modeling, data visualization
Employer & Industry UsageTech companies, AI/ML product teams, innovation labsTech companies, analytics teams, product development

While both roles involve working with data and algorithms at Apple, the Machine Learning Engineer focuses on building and deploying ML models, whereas the Data Scientist emphasizes analyzing data and deriving insights. The roles overlap but differ mainly in technical focus and daily tasks.

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

Machine Learning Engineer

Apple

Sunnyvale, CA • On-site

Full-time

Posted 5 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

Our team delivers algorithms that power many Apple technologies, including Apple Vision Pro's Eyesight and Persona. In this position, you will have the opportunity to be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.
Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. You will be actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. You will perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on iOS and VisionOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and cross-functionally.
3+ years of experience working on ML projects for computer vision / graphics applications.Software engineering skills and proficiency in Python.Experience with PyTorch.BA/BS degree in computer vision, computer graphics, machine learning or related field.
MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.Self-motivated with proven ability to effectively prioritize and deliver tasks on schedule.Excellent communication and experience working with cross-functional teams.

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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