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

Tableau/Power BI Developer (JUNIOR)

Boston, MA · On-site

$72K - $94K/yr

We've helped thousands of candidates land full-time roles at top-tier tech companies like Apple ... Data Engineers & AI/Machine Learning Engineers Preferred Skills For Java/Full Stack/DevOps Roles:

... apple, google, PayPal, western union, Client, visa, Walmart labs etc. to name a few. We have an ... Machine Learning engineers. Who Should Apply Recent Computer science/Engineering /Mathematics ...

Tableau/Python Developer - Entry Level

Boston, MA · On-site

$54.50 - $75.25/hr

... apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We have an ... Excellent written and verbal communication skills Required skills for data science/machine learning ...

Systems Administrator

Lexington, MA · On-site

$100 - $120/hr

Client/AMD, Cisco, Sun/Oracle, Dell, Apple, EMC, NetApp 3 years Linux system administration (RedHat ... We specialize in machine learning (ML) algorithms, technologies, and systems that extract and ...

... Apple Certified Support Professional (ACSP), ITIL Foundation, or similar * Previous working ... By integrating machine learning with large-scale experimentation, this approach aims to reduce the ...

... Apple Certified Support Professional (ACSP), ITIL Foundation, or similar * Previous working ... By integrating machine learning with large-scale experimentation, this approach aims to reduce the ...

US-MA-TEWKSBURY-TB3 ~ 50 Apple Hill Dr ~ CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type ... Experience in artificial intelligence (AI)-based development, including machine learning (ML ...

US-MA-TEWKSBURY-TB3 ~ 50 Apple Hill Dr ~ CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type ... Experience in artificial intelligence (AI)-based development, including machine learning (ML ...

Product Analyst

Southborough, MA · On-site

$55K - $90K/yr

... machine learning, and agentic AI to execute the 3,500+ transactional functions that currently ... Under the leadership of Chairman John Sculley (former Apple CEO) and President & CEO Ravi Ika , ...

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Apple Machine Learning information

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$15

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How much do apple machine learning jobs pay per hour?

As of Jun 28, 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:
Junior Java/Full-Stack Developer

Junior Java/Full-Stack Developer

SynergisticIT

Boston, MA • On-site

Other

Posted yesterday


Job description

SynergisticIT Job Opportunities

Since 2010, SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients.

Post Covid the tech layoffs have been massive—In 2022 there were 165,269 tech layoffs, in 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. Total layoffs as per this 555,871 tech layoffs. Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August. The job market is hyper competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level job positions. Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get interviews and eventually a job offer. Survival of the fittest is the only way to get a tech job in this job market. In this layoffs fueled market also SynergisticIT's candidates are able to achieve multiple job offers and $100k+ salaries once they acquire the required skills.

We regularly interact with the top tech companies to give our candidates a competitive advantage-Please visit the below videos exhibiting at Oracle Cloud world/Oracle Java one (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

All positions are open for all visas and US citizens. We at SynergisticIT understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab etc to name a few.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We want data science/machine learning/data analyst and Java full stack candidates REQUIRED SKILLS For Java/full stack/devops positions Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT Knowledge of core Java, javascript, C++ or software programming Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience.

For data science/data analyst/AI/machine learning positions REQUIRED SKILLS Associate or Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude Knowledge of statistics, Gen AI, LLM, Sagemaker, Python, computer vision, data visualization tools Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.