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Entry Level Apple Machine Learning Engineer Jobs

Apple

Machine Learning Video Engineer

Cupertino, CA · On-site

The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. As a machine learning engineer, you'll be developing ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA

$216K - $324K/yr

We are part of the Intelligent System Experiences team at Apple and work on the core modeling ... Description We are seeking a machine learning research engineer with experience building modern ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA

$216K - $324K/yr

We are part of the Intelligent System Experiences team at Apple and work on the core modeling ... Description We are seeking a machine learning research engineer with experience building modern ...

Apple

Senior Machine Learning Engineer

Seattle, WA

$171K - $258K/yr

Apple is a place where extraordinary people gather to do their lives best work. Together we create ... Mentor and guide junior engineers and interns in best practices for machine learning model ...

Apple

On-Device Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our ... We balance research and product requirements to deliver Apple quality, pioneering experiences ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA · On-site

We are part of the Intelligent System Experiences team at Apple and work on the core modeling ... Description We are seeking a machine learning research engineer with experience building modern ...

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Entry Level Apple Machine Learning Engineer information

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$30K

$69.4K

$118K

How much do entry level apple machine learning engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for entry level apple machine learning engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What does an Entry Level Apple Machine Learning Engineer do?

An Entry Level Apple Machine Learning Engineer helps design, develop, and implement machine learning models and algorithms for Apple products and services. They work closely with senior engineers and data scientists to collect and analyze data, build prototypes, and improve the performance of machine learning systems. Responsibilities often include coding, model evaluation, and collaborating with cross-functional teams to integrate ML solutions into Apple’s ecosystem. This role is ideal for those with a strong foundation in programming, statistics, and a passion for innovative technology.

What is the difference between Entry Level Apple Machine Learning Engineer vs Entry Level Data Scientist?

AspectEntry Level Apple Machine Learning EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, ML, or related; knowledge of ML frameworksBachelor's in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech company, R&D, product developmentData analysis, research, business insights
Employer & Industry UsageApple, consumer electronics, softwareVarious industries including tech, finance, healthcare
Common Search & ComparisonYesYes

Entry Level Apple Machine Learning Engineers focus on developing ML models for Apple products, requiring knowledge of ML frameworks and programming. Entry Level Data Scientists analyze data to derive insights, often with statistical expertise. While both roles involve data and programming, ML Engineers emphasize model deployment, whereas Data Scientists focus on data analysis and reporting.

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

To thrive as an Entry Level Apple Machine Learning Engineer, you generally need a solid background in computer science, mathematics, and statistics, often supported by a relevant degree and coursework in machine learning. Familiarity with programming languages such as Python or Swift, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of Apple's development tools like Core ML are typically required. Strong problem-solving abilities, teamwork, and effective communication skills help you collaborate and contribute innovative solutions in a dynamic tech environment. These competencies are crucial for developing and optimizing machine learning models that power Apple's products and services.

What are some common challenges faced by entry-level Machine Learning Engineers at Apple, and how can they overcome them?

Entry-level Machine Learning Engineers at Apple often encounter challenges such as adapting to the company's fast-paced innovation cycle, understanding large and complex codebases, and collaborating with cross-functional teams. To overcome these hurdles, it's important to proactively seek mentorship, participate in code reviews, and familiarize oneself with Apple's internal tools and documentation. Regular communication with peers and senior engineers can also help accelerate the learning curve and foster a collaborative environment that encourages innovation and knowledge sharing.
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What cities are hiring for Entry Level Apple Machine Learning Engineer jobs? Cities with the most Entry Level Apple Machine Learning Engineer job openings:
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Entry Level Apple Machine Learning Engineer jobs near you
Infographic showing various Entry Level Apple Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 50% Physical, and 50% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.
On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning

On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning

Apple

Cupertino, CA • On-site

$252K/yr

Full-time

Posted 26 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Imagine being at the forefront of an evolution where powerful AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently.
We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple a top destination for on-device machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding innovative architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem.
If you are passionate about the technical challenges of running sophisticated ML models on resource-constrained devices and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents an incredible opportunity to work on the next generation of intelligent experiences on Apple platforms.
We are seeking an ML Infrastructure Engineer with a specific focus on graph compilers and runtimes. If you are a highly motivated software engineer who is creative, versatile, and passionate about machine learning operator primitives, common compiler optimizations, runtimes, and system software engineering in the fast-paced and dynamic field of machine learning, this could be a fantastic role for you.
Description
We're building an end-to-end developer experience for machine learning development that employs Apple's vertical integration. This allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling, and analysis.
This role focuses on the Core ML Runtime for execution on-device. In this role, you will build the world's most advanced ML graph compilation and runtime system, capable of optimizing and delivering ML models efficiently on Apple products and services.
Minimum Qualifications
Masters or equivalent experience in Computer Sciences, Engineering, or related subject area.
Highly proficient in C++ or Swift. Familiarity with Python.
Experience with any compiler stack (MLIR/LLVM/TVM/...).
Familiarity with Operating Systems, embedding programming, parallel programming.
Sound understanding of ML fundamentals, including common architectures such as Transformers.
Good communication skills, including ability to communicate with multi-functional audiences.
Preferred Qualifications
Experience with any on-device ML stack, such as TFLite, ONNX, ExecuTorch, etc.
Experience with any ML authoring framework (PyTorch, TensorFlow, JAX, etc.) is a strong plus.
Experience with accelerators, GPU programming is a strong plus.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

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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

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