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Ai Machine Learning Engineer Jobs in Massachusetts

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...

Lead Machine Learning Engineer

Cambridge, MA ยท On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new ...

Senior Machine Learning Engineer

Boston, MA ยท Hybrid

$107K - $199K/yr

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to ... Design, develop, and maintain AI solutions for backend applications related to document analytics;

AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS ...

Senior Machine Learning Engineer

Boston, MA

$113K - $155K/yr

To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science ...

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML models into production systems that solve critical national security problems. Working as part of a ...

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Ai Machine Learning Engineer information

See Massachusetts salary details

$34.4K

$140.6K

$211.3K

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

As of Aug 3, 2026, the average yearly pay for ai machine learning engineer in Massachusetts is $140,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $169,300.00 per year, depending on experience, location, and employer.

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

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python or R), and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms and data processing tools, is highly valued, along with certifications in AI or machine learning. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies are crucial for developing accurate, scalable AI models that deliver real-world value and drive innovation.

What are some common challenges that AI machine learning engineers face when deploying models to production environments?

AI Machine Learning Engineers often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and handling model drift once solutions are live. They also need to collaborate closely with DevOps and software engineering teams to integrate models seamlessly into existing systems, while maintaining performance and security. Addressing these challenges requires a strong understanding of both machine learning principles and software deployment best practices.

What is an AI machine learning engineer?

An AI Machine Learning Engineer is a professional who designs, builds, and deploys artificial intelligence and machine learning models to solve real-world problems. They work with large datasets, select appropriate algorithms, and optimize models for accuracy and efficiency. Their role often involves both software engineering and data science skills, and they collaborate with other teams to integrate these models into products or services. AI Machine Learning Engineers are in high demand across industries such as technology, healthcare, finance, and more.

What is the difference between Ai Machine Learning Engineer vs Data Scientist?

AspectAi Machine Learning EngineerData Scientist
CredentialsDegree in CS, AI, or related fields; certifications in ML frameworksDegree in CS, Statistics, or related fields; certifications in data analysis
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, where deploying ML models is keyResearch, business intelligence, analytics across industries

While both roles involve working with data and machine learning, Ai Machine Learning Engineers focus on building and deploying scalable ML models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core focus and responsibilities.

What are popular job titles related to Ai Machine Learning Engineer jobs in Massachusetts? For Ai Machine Learning Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Ai Machine Learning Engineer jobs in Massachusetts look for? The top searched job categories for Ai Machine Learning Engineer jobs in Massachusetts are:
Infographic showing various Ai Machine Learning Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 72% Full Time, 24% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $140,632 per year, or $67.6 per hour.

Senior Machine Learning Engineer Ai/Machine Learning/Boston

Motion Recruitment Partners, LLC

Boston, MA โ€ข On-site

$133K - $175K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description


A full-service product development consultancy specializing in medical devices, robotic systems, and automation is hiring a Senior Machine Learning Engineer. In this position, you'll be responsible for owning the entire ML lifecycle, transforming raw sensor data into reliable models that run on constrained hardware. You will collaborate closely with embedded, hardware, and software teams to design and implement data pipelines, as well as optimize and deploy models for signal processing and anomaly detection on real-world devices.
As a core team member, you'll also help build out MLOps infrastructure, participate in sensor selection and integration, and ensure seamless validation and delivery of AI features within device software. You'll document model development to support both internal quality processes and regulatory submissions, ensuring your solutions are robust, maintainable, and production ready.
Required Skills & Experience
  • Strong proficiency in Python
  • Hands on experience in PyTorch or TensorFlow
  • Experience deploying models to edge using TFLite, ONNX, CoreML, TensorRT, or equivalent
  • Experience building sensor data pipelines
  • Proficiency with MLOps
  • Solid Software engineering fundamentals
  • Proficiency in C or C++
Desired Skills & Experience
  • 5 years of machine learning engineering or applied ML
  • Experience with physiological signal processing for medical or wearable applications
  • Background in robotics, or autonomous systems
  • Experience in a startup or small team
  • Degree in a relevant field
What You Will Be Doing
Daily Responsibilities
  • 100% Hands On
  • Develop and troubleshoot workflows for collecting, cleaning, and organizing sensor data.
  • Build and refine ML models for real-time device applications and performance improvements
  • Work closely with firmware teams to embed and test AI features on hardware platforms
  • Set up and oversee tools for tracking experiments, automating evaluations and managing deployments
  • Analyze model behavior, ensure reliability and resolve issues to maintain high-quality outputs
The Offer
  • Bonus OR Commission eligible
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) {including match - if applicable}
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.