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Apple Machine Learning Engineer Jobs in Boston, MA

Machine Learning Engineer III

Boston, MA · On-site +1

$175K - $249K/yr

Machine Learning Engineer I II Boston, MA - Merchandising - Full time - R29868 What you'll do: * Design and implement cloud architectures tailored for end-to-end machine learning workflows (including ...

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...

Staff Machine Learning Engineer Waltham, MA Xometry powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry ...

Machine Learning Engineer

Cambridge, MA · On-site

$125K - $150K/yr

... engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: * ML Optimization and Deployment: Develop and deploy machine learning models for ...

Machine Learning Engineer

Cambridge, MA · On-site

$135K - $200K/yr

... engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: * ML Optimization and Deployment: Develop and deploy machine learning models for ...

Senior Machine Learning Engineer

Boston, MA

$113K - $155K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

New

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell ...

Machine Learning Engineer - Edge Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions.

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

ASUS Robotics & AI Center Senior Machine Learning Engineer The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role ...

In this role, you will collaborate closely with Machine Learning Engineers, BI Specialists, Sales and Marketing Leaders, and IT partners to execute AI and Advanced Analytics initiatives that will ...

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and architecture for the machine learning systems that power our data discovery and model improvement ...

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Showing results 1-20

Apple Machine Learning Engineer information

See Boston, MA salary details

$34.2K

$139.9K

$210.2K

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

As of Jun 10, 2026, the average yearly pay for apple machine learning engineer in Boston, MA is $139,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $168,400.00 per year, depending on experience, location, and employer.

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 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 are the most commonly searched types of Apple Machine Learning Engineer jobs in Boston, MA? The most popular types of Apple Machine Learning Engineer jobs in Boston, MA are:
What are popular job titles related to Apple Machine Learning Engineer jobs in Boston, MA? For Apple Machine Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:
Infographic showing various Apple Machine Learning Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 81% Full Time, 16% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $139,877 per year, or $67.2 per hour.
Machine Learning Engineer III

Machine Learning Engineer III

Chewy

Boston, MA • On-site, Remote

$175K - $249K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 216 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers


Job description

Job Description:

Machine Learning Engineer III

Boston, MA Merchandising – Full time – R29868

Job Description:

What you’ll do:

  • Design and implement cloud architectures tailored for end-to-end machine learning workflows (including data preprocessing, model training, and deployment), ensuring scalability, reliability, and performance.
  • Utilize Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation, to automate the provisioning and management of cloud resources for machine learning.
  • Implement and manage containerization solutions (e.g., Docker) and orchestration tools (e.g., Kubernetes) for deploying and scaling machine learning applications.
  • 20% domestic travel required.
  • Telecommuting permitted up to 2 days per week.

What you’ll need:

  • Minimum Requirements: Master’s degree or foreign equivalent in Operations Research, Data Science, Computer Engineering, Computer Science, Statistics, Applied Mathematics, or related field., plus 5 years of experience in an Operations Research Analysts or a related position/occupation.
  • Alternate Education and Experience: PhD degree or foreign equivalent in Operations Research, Data Science, Computer Engineering, Computer Science, Statistics, Applied Mathematics, or related field., plus 2  year(s) of experience in an Operations Research Analysts or a related position/occupation.
  • Full term of experience must include:
  • Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms.
  • and R, PySpark, Spark, Scala, Java, PyTorch, TensorFlow, Docker.
  • Experience must also include:
  • Jenkins.
  • Terraform.
  • MLflow.
  • Model Serialization.
  • Inference Optimization.
  • API development.

Employer: Chewy, Inc.

Office Address: 343 Congress Street, Boston, MA 02210

The base salary range for this role is $175,053.00 to $249,000.00 per year
 

  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


What Chewy employees say

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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011