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Apple Machine Learning Engineer Jobs in Massachusetts

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.

Senior Machine Learning Engineer

Cambridge, MA · On-site

$162.50K - $286.40K/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 ...

Senior Machine Learning Engineer

Cambridge, MA · On-site

$133.90K - $176.50K/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 ...

Senior Machine Learning Engineer

Cambridge, MA · On-site

$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 ...

Senior Machine Learning Engineer

Cambridge, MA · On-site

$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 ...

Machine Learning Engineer

Dorchester, MA · On-site

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and ...

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI/ Westlake, TX/ Durham, NC/ Covington, KY/ Jersey City, NJ/ Boston, MA Candidate should be local or ...

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

... apple, google, Paypal, western union, client, visa, walmart labs etc to name a few. We have an excellent reputation with the clients. Currently, we are looking for an AI & Machine Learning Engineer.

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

What We're Looking For As a Machine Learning Engineer working on Remark's core platform, you will be responsible for planning, implementing, and testing features that change the way consumers buy ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Work with an international top-notch engineering team with full commitment on Machine Learning development. Required Candidate Profile Skills Required: * Passionate about search and AI technologies.

Work with an international top-notch engineering team with full commitment on Machine Learning development. Skills Required: * Passionate about search and AI technologies. Open to collaborating with ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

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Showing results 1-20

Apple Machine Learning Engineer information

See Massachusetts salary details

$34.4K

$140.6K

$211.3K

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

As of May 28, 2026, the average yearly pay for apple machine learning engineer in Massachusetts is $140,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $169,300.00 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 statistics, typically with experience in machine learning algorithms and a relevant degree. Expertise in programming languages such as Python or Swift, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of Apple's Core ML are commonly required. Strong problem-solving abilities, creativity, and effective communication help you collaborate across teams and translate complex ideas. These skills ensure innovative, scalable, and user-centric machine learning solutions that align with Apple's high standards.

What collaboration opportunities can an Apple Machine Learning Engineer expect when working on cross-functional projects?

As an Apple Machine Learning Engineer, you will frequently collaborate with cross-functional teams including software engineers, product managers, and user experience designers. This collaboration is essential for integrating machine learning solutions seamlessly into Apple’s products and services. You can expect to participate in regular meetings to align on project goals, share technical insights, and troubleshoot challenges together. Such teamwork not only enhances product quality but also offers valuable opportunities for professional growth and skill development within Apple’s innovative environment.

What does an Apple Machine Learning Engineer do?

An Apple Machine Learning Engineer designs, develops, and implements machine learning models and algorithms that power Apple's products and services. They work with large datasets, collaborate with software and hardware teams, and contribute to features such as Siri, image recognition, and personalized recommendations. Their role involves researching new techniques, optimizing models for performance and efficiency, and ensuring privacy and security standards are maintained.

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

AspectApple Machine Learning EngineerApple Data Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related fields; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDeveloping ML models, algorithms, deploying on Apple devicesAnalyzing data, building insights, supporting product decisions
Employer & Industry UsageTech industry, Apple-specific projects, hardware/software integrationTech industry, product analytics, user behavior insights

Apple Machine Learning Engineers focus on developing and deploying ML models within Apple's ecosystem, while Apple Data Scientists analyze data to inform product decisions. Both roles require strong technical skills, but ML Engineers are more involved in model creation and deployment, whereas Data Scientists focus on data analysis and insights.

What are popular job titles related to Apple Machine Learning Engineer jobs in Massachusetts? For Apple Machine Learning Engineer jobs in Massachusetts, the most frequently searched job titles are:
What cities in Massachusetts are hiring for Apple Machine Learning Engineer jobs? Cities in Massachusetts with the most Apple Machine Learning Engineer job openings:
Machine Learning Engineer

Machine Learning Engineer

Apple

Cambridge, MA • On-site

Other

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

Role Number: 200647916-1242

Summary

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers every day.

Description

To be successful, candidates will need a machine learning background, proven software development skills, a love of learning. They will also need to be able to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows.

Minimum Qualifications

  • 4+ years of related experience building high throughput scalable applications or building machine learning models.

  • Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems.

  • Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.

  • Skilled in communication, problem solving, strategic thinking

  • Attention to detail, data accuracy and quality of output

Preferred Qualifications

  • PhD or Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelorʼs degree with equivalent experience.

  • Experience in Search, Recommender Systems, Personalization, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture.

  • Skilled in communication, problem solving, critical thinking.

  • Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus.

  • Experience with Spark, TensorFlow, Keras, and PyTorch a plus


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