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Entry Level Apple Machine Learning Engineer Jobs

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

Are you interested in enhancing the capabilities of Siri and Apple products to benefit our users ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

Apple

Senior Machine Learning Engineer

Cupertino, CA

$181.10K - $318.40K/yr

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 ...

Apple

Senior Machine Learning Engineer

Austin, TX

$181.10K - $318.40K/yr

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 ...

Apple

Senior Machine Learning Engineer

Austin, TX

$181.10K - $318.40K/yr

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 ...

Apple

Senior Machine Learning Engineer

Cupertino, CA

$181.10K - $318.40K/yr

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 ...

Apple

Senior Machine Learning Engineer

Cambridge, MA

$181.10K - $318.40K/yr

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 ...

Apple

Senior Machine Learning Engineer

Austin, TX

$181.10K - $318.40K/yr

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 ...

Apple

Senior Machine Learning Engineer

Cambridge, MA

$181.10K - $318.40K/yr

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 ...

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$139.50K - $258.10K/yr

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 ...

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Entry Level Apple Machine Learning Engineer information

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

As of May 30, 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 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.

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.

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Entry Level Apple Machine Learning Engineer jobs near you
Applied Machine Learning Engineer - Customer Feedback

Applied Machine Learning Engineer - Customer Feedback

Apple

Cupertino, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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

Join the team responsible for Apple's Feedback and Beta Programs! Our tools and applications collect user feedback on beta software releases, helping to drive the direction and priorities of Apple's engineering teams. To make the best use of feedback we receive from customers and developers, we develop and maintain machine learning systems and automated analysis to cluster, annotate, and escalate the millions of reports we receive yearly...We are looking for experienced Machine Learning engineers to deploy and tune both traditional ML and generative AI models to enhance our systems' capability. There are tantalizing problems and products possible with our one-of-a-kind dataset, and plenty of opportunity for a passionate engineer.
Our team is seeking adept machine learning engineers who are excited by creating machine-learning-driven user experiences. Work includes implenting high-performance machine learning models and infrastructure in concert with software engineers, designers, and teams of internal users.You will be responsible for full stack ML development in partnership with others on the team. This includes data generation and curation, creating and influencing ML tooling and infrastructure, driving evaluation efforts, and training or fine-tuning models. You will also be involved in directly integrating ML into internal tools and systems. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions. The team values rapid iteration, based on bringing models into reality so stakeholders can play with cutting edge technology and research. To this end you will be engaged with hardware, software, and design teams across Apple; both representing the technology and implementing it into prototypes.You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.
Industry experience with applied machine learning.Industry experience in software engineering, data engineering, or similar.Strong fundamentals in problem solving, algorithm design, and model buildingExcellent verbal and written communication and presentation skillsMS in Computer Science or related experience
Working knowledge of applied Natural Language Processing.Strong hands-on experience in building large scale ML based solutions or in building and scaling distributed systems.

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

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