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Apple Machine Learning Jobs in Boston, MA (NOW HIRING)

Apple

Cellular RF Systems Architect

Waltham, MA

$162K - $286K/yr

At Apple, our work is dedicated to creating products that connect and enrich people's lives. The ... Experience applying Artificial Intelligence (AI) or Machine Learning (ML) for system-level trade ...

Apple

Cellular RF Systems Architect

Waltham, MA · On-site

At Apple, our work is dedicated to creating products that connect and enrich people's lives. The ... Experience applying Artificial Intelligence (AI) or Machine Learning (ML) for system-level trade ...

SynergisticIT

Python Developer

Cambridge, MA · On-site

$55 - $75.75/hr

... apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We are ... We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills ...

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

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 · 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 ...

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 ...

SynergisticIT

Junior C++ Developer

Boston, MA · On-site

$72K - $94K/yr

... apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few. Currently, we ... We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS ...

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Apple Machine Learning information

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$33

How much do apple machine learning jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for apple machine learning in Boston, MA is $24.79, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.69 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 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.

How much does a machine learning engineer make at Apple?

A machine learning engineer at Apple typically earns between $120,000 and $180,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring proficiency in Python, TensorFlow, or similar tools.

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 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 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.

Does Apple hire machine learning engineers?

Yes, Apple hires machine learning engineers to develop AI and ML features across its products and services. These roles typically require expertise in programming languages like Python or Swift, experience with frameworks such as TensorFlow or Core ML, and a strong background in data analysis and algorithms.

How much do Apple machine learning employees make?

Apple machine learning employees typically earn between $120,000 and $180,000 annually, depending on experience, location, and role level. Senior positions or specialized skills in AI and deep learning can lead to higher compensation, often including stock options and bonuses.

Which 3 jobs will survive AI?

For Apple Machine Learning roles, jobs that require complex problem-solving, creativity, and human judgment—such as AI ethics specialists, machine learning engineers, and data scientists—are likely to persist despite AI advancements. These roles involve designing, interpreting, and overseeing AI systems, which currently require human expertise and oversight. Skills in programming, data analysis, and understanding of AI frameworks are essential for these positions.
What are popular job titles related to Apple Machine Learning jobs in Boston, MA? For Apple Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Apple Machine Learning jobs in Boston, MA look for? The top searched job categories for Apple Machine Learning jobs in Boston, MA are:
Apple Machine Learning jobs near you
Machine Learning Applied Researcher - Speech, Vision and Audio

Machine Learning Applied Researcher - Speech, Vision and Audio

Apple

Cambridge, MA • On-site

Full-time

Posted 11 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

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, smart 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 passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
Minimum Qualifications
BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
Experience in academic or industry research.
Experience working with Pytorch.
Preferred Qualifications
MS or PhD in Computer Science, Electrical Engineering, or a related field.
Strong foundation in deep learning theory and hands-on experience training large-scale models.
Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.

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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