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Apple Machine Learning Jobs in Massachusetts (NOW HIRING)

The Tyche Project

Lead Data Scientist

Boston, MA · On-site

Machine Learning methods for solutions in the area of Natural Language Processing (NLP) is a vital ... an Apple Watch), and an unlimited vacation policy where you are actually encouraged to get away ...

The Tyche Project

Lead Data Scientist

Boston, MA · On-site

Machine Learning methods for solutions in the area of Natural Language Processing (NLP) is a vital ... an Apple Watch), and an unlimited vacation policy where you are actually encouraged to get away ...

Adidev Technologies Inc

ML/AI Engineers

Boston, MA · On-site

... Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software ...

Adidev Technologies Inc

ML/AI Engineers

Boston, MA · Remote

... Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software ...

Shoptalk

Software Engineer - Print Pipeline

Somerville, MA · On-site

$120K - $170K/yr

... Apple, Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype ... machine learning). If you are a talented engineer who is excited to dive into 3D geometric ...

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Apple Machine Learning information

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How much do apple machine learning jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for apple machine learning in Massachusetts is $24.92, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $27.84 per hour, depending on experience, location, and employer.

What is an Apple machine learning engineer?

An Apple Machine Learning Engineer is a professional who develops, implements, and optimizes machine learning models and algorithms for Apple’s products and services. They work on projects such as Siri, computer vision, natural language processing, and personalized user experiences across Apple devices. Their role includes collaborating with software engineers, data scientists, and product teams to deliver intelligent features and improve device performance. These engineers use advanced tools and frameworks, such as Core ML and TensorFlow, to deploy scalable solutions that enhance Apple’s ecosystem.

What are the key skills and qualifications needed to thrive as an Apple machine learning engineer?

To thrive as an Apple Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically with a relevant degree and experience in designing and deploying machine learning models. Familiarity with programming languages such as Python or Swift, machine learning frameworks like TensorFlow or PyTorch, and experience using Apple's ML tools such as Core ML are essential. Problem-solving ability, creativity, and strong collaboration and communication skills distinguish top performers in this role. These skills and qualities are crucial for developing innovative, scalable solutions that drive Apple's intelligent product features and user experiences.

How do Apple machine learning engineers typically collaborate with cross-functional teams during product development?

Apple Machine Learning engineers frequently work closely with product managers, software engineers, and designers to integrate machine learning solutions into Apple's hardware and software products. Collaboration often involves regular meetings to align on project goals, sharing model performance metrics, and iterating on data-driven features based on user feedback. This cross-functional teamwork ensures that machine learning models are both technically robust and aligned with Apple's user experience standards. The fast-paced, collaborative environment at Apple encourages engineers to communicate clearly and proactively solve problems with colleagues from diverse backgrounds.

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

AspectApple Machine LearningData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML frameworksDegree in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentTech company, R&D labs, product teamsVaried industries, research, consulting, corporate settings
Industry UsageConsumer electronics, software, AI productsBusiness analytics, market research, product development
Common Search/ComparisonYesYes

Apple Machine Learning specialists focus on developing ML models for Apple products and services, often requiring deep technical expertise in ML frameworks. Data Scientists analyze data to extract insights, supporting business decisions across various industries. While both roles involve data analysis and programming, Apple Machine Learning roles are more specialized in AI model development within the tech industry, whereas Data Scientists have broader applications across sectors.

What are popular job titles related to Apple Machine Learning jobs in Massachusetts?

For Apple Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Apple Machine Learning jobs in Massachusetts look for?

The top searched job categories for Apple Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Apple Machine Learning jobs?

Cities in Massachusetts with the most Apple Machine Learning job openings:

Apple Machine Learning jobs near you
Infographic showing various Apple Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $51,841 per year, or $24.9 per hour.

Lead Data Scientist

Boston, MA • On-site

The Tyche Project
See more jobs at The Tyche Projectexternal

Full-time

Medical, Dental, Retirement, PTO

Re-posted 12 days ago

Job description

Company Description

We are a uniquely designed talent agency focusing on the technology sector in the Boston, MA area. Our solution is built for engineers tired of the traditional recruiting experience looking for an Agent to represent them in their current search and/or throughout their career.

They search keywords.  We know key people.

Job Description

We are working with a brand new travel startup a short walk from South Station to hire a Lead Data Scientist. Founded by travel industry veterans (KAYAK) they are creating a brand new platform to simplify and improve the travel booking experience.  

If you've traveled recently you must have noticed that regardless of the site you visit you find yourself entering the same information over and over again? This is the tedious experience most modern booking sites provide and they are going to fix it.

The Lead Data Scientist will be responsible for real world implementations of Data Mining solutions able to discover patterns in large data sets at the intersection of artificial intelligence, machine learning, statistics, and database systems. Machine Learning methods for solutions in the area of Natural Language Processing (NLP) is a vital aspect of their success and they need someone capable of leading this charge.

The client offers 100% paid medical and dental insurance for both individuals and families. They provide a PPO plan as well so there is no need for referrals to any specialists. They also have a 401k match, give you the ability to choose your equipment (including iPhone 6S and an Apple Watch), and an unlimited vacation policy where you are actually encouraged to get away when needed.  

For Engineers interested who have no desire to commute into and out of Boston daily, we do also have an office in Westford and you will be able to work from that space 2-3 days/week.

To be considered please submit your resume and why you think you are the right person to tackle this challenge along with any other experience (Kaggle competitions, etc) you feel relevant.



Qualifications

Experience needed:

  • 5+ years of "Data Science" experience (Analytics, Data Storage/Management) outside of research only environments
  • 3+ years of experience with Python and/or R 
  • Experience extracting data from databases, writing scripts to parse, clean, combine, and process that data
  • Past experience using predictive analytics, behavior modeling, and machine learning methods to create new products or drive business decisions

About you:

  • Startup experience
  • A desire to be involved in key company decisions in anything tech related
  • The chops to take on major industry players as part of a small, passionate team
Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply