2

Entry Level Apple Machine Learning Engineer Jobs

The people here at Apple don't just create products - they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

The people here at Apple don't just create products - they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

The people here at Apple don't just create products - they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have ... The team is well positioned for strategic contributions in the short-term (on well-known Apple ...

$150K - $225K/yr

Our lively and brilliant distributed team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our ...

$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 ...

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 ...

$150K - $277K/yr

Machine Learning Video Processing Engineer Cupertino, California, United States Hardware Imagine ... At Apple, you'll have the opportunity to contribute to products that consistently set industry ...

Showing results 21-40

Entry Level Apple Machine Learning Engineer information

See salary details

$30K

$69.4K

$118K

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

As of Sep 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 are the key skills and qualifications needed to thrive as an entry level Apple machine learning engineer?

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 Apple machine learning engineers, 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.

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.

More about Entry Level Apple Machine Learning Engineer jobs

What cities are hiring for Entry Level Apple Machine Learning Engineer jobs?

Cities with the most Entry Level 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 are popular job titles related to Entry Level Apple Machine Learning Engineer jobs?

For Entry Level Apple Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Entry Level Apple Machine Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Machine Learning Engineer, Video Engineering

Sunnyvale, CA

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$184K - $324K/yr

Full-time

Medical, Dental, Retirement

Re-posted 22 days ago


Key responsibilities

  • Research and develop state-of-the-art machine learning models for 3D content creation, spatial video processing, and scene understanding.

  • Design, train, and optimize large-scale generative models for on-device deployment, including conducting experiments to improve quality.

  • Present and demonstrate ML models and research findings to cross-functional teams and leadership.


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz


Job description

Help define the next generation of photo and video experiences at Apple. The Video Engineering group develops key image and video technologies that contribute to experiences across many Apple products and services. As a Machine Learning Engineer, you'll be developing breakthrough ML models that power spatial media features, including 3D photos, immersive video, and scene reconstruction, reaching hundreds of millions of users. As a member of a fast-paced team, you will have the unique and exciting opportunity to shape upcoming products at the frontier of generative AI, computer vision, and 3D understanding, with a strong emphasis on taking ideas from research to production.
Description
This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of 3D computer vision and computer graphics. Your primary focus will be applying cutting-edge machine learning techniques to complex 3D visual challenges to create customer impact across current and future Apple products.","responsibilities":"Work both independently and collaboratively with team members to research and develop state-of-the-art ML models for 3D content creation, spatial video processing, and scene understanding, presenting and demonstrating your work to cross-functional teams and leadership alike.
Design and train large-scale generative models on Apple's ML infrastructure, run rigorous experiments to improve quality, and optimize models for on-device deployment. Examples of past team work include Spatial Scenes, immersive 3D experiences generated from photos and videos using ML-powered depth and view synthesis.
Preferred Qualifications
MS or PhD in Computer Science, Machine Learning, Computer Vision, or a related field.
Publications in top-tier ML or vision venues.
Experience with video diffusion models, 3D Gaussian Splatting, neural radiance fields, or differentiable rendering.
Experience with distributed training at scale.
Familiarity with on-device ML deployment.
Track record of shipping ML-powered features in consumer products.
Good written and oral interpersonal skills.
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.
10+ years of experience developing and shipping machine learning models, with a focus on computer vision or generative AI.
Expert-level proficiency in Python and PyTorch or equivalent ML frameworks.
Strong experience with diffusion models for image synthesis, video generation, 3D generation, or related domains.
Solid understanding of 3D computer vision including depth estimation, multi-view geometry, 3D reconstruction, novel view synthesis, or neural scene representations.
Working knowledge of 3D computer graphics concepts such as rendering, camera models, scene representations, and coordinate systems.
Working knowledge of C++ for performance-critical components.
Ability to leverage AI coding assistants and LLM-based tools to accelerate development, prototyping, and problem-solving workflows.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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