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Apple Machine Learning Jobs in Massachusetts (NOW HIRING)

Prattwhitney

$108 - $205/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

US-MA-TEWKSBURY-TB1 ~ 50 Apple Hill Dr ~ ASSABET BLDG Contract: Onsite This role is 100% on-site ... Machine Learning tools do some of the heavy lifting. * Work directly with hardware designers ...

U-Haul

Hitch Installer

Worcester, MA

$15 - $17/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Are you interested in learning valuable technical skills? U-Haul is seeking a hard-working ... Discounts on Apple products, Dell computers, cell phone plans, hotels, and more * 401(k) Savings ...

U-Haul

Hitch Professional

Natick, MA

$15 - $17/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Are you interested in learning valuable technical skills? U-Haul is seeking a hard-working ... Discounts on Apple products, Dell computers, cell phone plans, hotels, and more * 401(k) Savings ...

U-Haul

Hitch Professional

Natick, MA · On-site

$15 - $17/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Are you interested in learning valuable technical skills? U-Haul is seeking a hard-working ... Discounts on Apple products, Dell computers, cell phone plans, hotels, and more * 401(k) Savings ...

U-Haul

Hitch Installer

Worcester, MA · On-site

$15 - $17/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Are you interested in learning valuable technical skills? U-Haul is seeking a hard-working ... Discounts on Apple products, Dell computers, cell phone plans, hotels, and more * 401(k) Savings ...

U-Haul

Full Time Hitch Installer

Hyannis, MA · On-site

$15 - $17/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Are you interested in learning valuable technical skills? U-Haul is seeking a hard-working ... Discounts on Apple products, Dell computers, cell phone plans, hotels, and more * 401(k) Savings ...

U-Haul

Post Inspection Specialist

Boston, MA

  • PTO

Continued learning via U-Haul education to stay up to date with current technology and the new ... Discounts on Apple products, Dell computers, hotels, and more Work Environment: The work involves ...

New

U-Haul

Pre-Inspection Specialist

Brockton, MA

$20 - $22/hr

  • PTO

Continued learning via U-Haul education to stay up to date with current technology and our new ... Discounts on Apple products, Dell computers, hotels, and more Work Environment: The work involves ...

U-Haul

Pre-Inspection Specialist

Brockton, MA · On-site

$20 - $22/hr

  • PTO

Continued learning via U-Haul education to stay up to date with current technology and our new ... Discounts on Apple products, Dell computers, hotels, and more Work Environment: The work involves ...

U-Haul

Post Inspection Specialist

Brockton, MA

$20 - $22/hr

  • PTO

Continued learning via U-Haul education to stay up to date with current technology and the new ... Discounts on Apple products, Dell computers, hotels, and more Work Environment: The work involves ...

U-Haul

Post Inspection Specialist

Brockton, MA · On-site

$20 - $22/hr

  • PTO

Continued learning via U-Haul education to stay up to date with current technology and the new ... Discounts on Apple products, Dell computers, hotels, and more Work Environment: The work involves ...

U-Haul

Pre-Inspection Specialist

Boston, MA

  • PTO

Continued learning via U-Haul education to stay up to date with current technology and our new ... Discounts on Apple products, Dell computers, hotels, and more Work Environment: The work involves ...

New

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All JobsApple Machine Learning JobsApple Machine Learning Jobs in Massachusetts

Apple Machine Learning information

See Massachusetts salary details

$15

$24

$33

How much do apple machine learning jobs pay per hour?

As of Aug 16, 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, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $51,841 per year, or $24.9 per hour.

Senior Hardware Integration, Analysis & Test Engineer - Receiver/Exciter

Raytheon Technologies

Tewksbury, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Date Posted:
2026-04-08
Country:
United States of America
Location:
US-MA-TEWKSBURY-TB1 ~ 50 Apple Hill Dr ~ ASSABET BLDG
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: Secret
Security Clearance Status:
Active and existing security clearance required after day 1
At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world.
Raytheon's Receiver/Exciter & Processing Architecture (REPA) Department is the focal point for receiver, exciter, beam steering, and signal processing technology within the company. Our department is responsible for the design, development, integration, and lifecycle support of Raytheon's radar product portfolio.
We are seeking a Senior Hardware Integration, Analysis & Test Engineer excited about the opportunity to sit at the intersection of radar hardware, firmware, software, and signal processing and make it all work together. Join a growing Integration & Test Suite (ITS) team whose common toolset currently supports more than six active radar programs across S-, C-, X-, and UHF-Band systems. If you're someone who gets more satisfaction from building a tool that eliminates a problem forever than from fixing the same issue over and over, this opportunity is for you.
What You Will Do
  • Write, use, and maintain software that controls, tests, and characterizes real radar hardware - from module level all the way to system integration.
  • Dig into RF and IQ data to find the root cause of hard problems - the kind where the answer isn't obvious and the stakes are real.
  • Perform Receiver/Exciter hardware, software, and firmware design verification tests across multiple radar bands and programs and figure out what the data is telling you.
  • Build data analysis tools that give engineers and technicians answers faster - and eventually, building Artificial Intelligence/Machine Learning tools do some of the heavy lifting.
  • Work directly with hardware designers, firmware developers, software and systems engineers - you'll need to speak all four languages.
  • Hands on hardware test and troubleshooting.
  • Own your work: if you build it, you'll support it, improve it, and teach others how to use it.
  • Operate across multiple Raytheon sites and interface directly with program engineering, production, and systems teams.
  • This 1st shift role will be 100% on-site and based in Tewksbury, MA, with significant travel expected to Marlborough, MA.

Qualifications You Must Have
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years' of prior relevant experience.
  • 3+ years' experience in two or more of the following areas:
    • Radar system or subsystem integration, verification, and validation
    • Programming in MATLAB or C/C++
    • Microwave/RF system, subsystem, and/or Circuit Card Assembly design or test
  • The ability to obtain and maintain a U.S. government issued Secret security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer
  • Experience with IQ and signal processing analysis in MATLAB, C/C++, Python, or equivalent
  • Experience with Linux and Git
  • Experience with Radar Receiver/Exciter design and/or design verification testing
  • Familiarity with radar system troubleshooting, root cause identification, and corrective action documentation
  • Technical background in high-speed data converter test/characterization, radar system calibration, digital signal processing, cascade analysis, or frequency planning
  • Exposure to AI/ML models or statistical process control concepts
  • Self-starter capable of working independently and as part of a small, collaborative technical team

What We Offer
  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
  • This position offers relocation based on candidate eligibility.

Learn More & Apply Now!
  • Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
  • Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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