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Machine Learning Ai Developer Jobs in North Andover, MA

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what ... We're looking for a hands-on Machine Learning Engineer who enjoys turning cutting-edge ML research ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

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 ...

Apple Inc.

Machine Learning Engineer - Health AIML

Cambridge, MA · On-site

$194.70 - $354.70/hr

  • Medical

  • Dental

  • Retirement

Cambridge, Massachusetts, United States Machine Learning and AI The Health AI team is at the ... We are looking for a senior engineer excited about solving real-world problems in the health domain ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

SupportFinity™

Machine Learning Engineer

Boston, MA · On-site

$140 - $210/hr

About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our ... Experience deploying ML/AI algorithms for use by a cross-functional scientific audience * 1-4+ ...

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All JobsMachine Learning Ai Developer JobsMachine Learning Ai Developer Jobs in North Andover, MA

Machine Learning Ai Developer information

See North Andover, MA salary details

$10

$57

$77

How much do machine learning ai developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for machine learning ai developer in North Andover, MA is $57.22, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $64.95 per hour, depending on experience, location, and employer.

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

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

Is machine learning AI developer a good career?

A machine learning AI developer is a highly in-demand role that involves designing algorithms and models to enable machines to learn from data. It offers strong job growth, competitive salaries, and opportunities across various industries such as technology, healthcare, and finance. Success in this field typically requires skills in programming, mathematics, and familiarity with tools like Python and TensorFlow.

What does a machine learning AI developer do?

A machine learning AI developer designs, builds, and maintains algorithms and models that enable computers to learn from data and make predictions or decisions. They work with programming languages like Python or R, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and engineers to deploy AI solutions in various applications.

What cities near North Andover, MA are hiring for Machine Learning Ai Developer jobs?

Cities near North Andover, MA with the most Machine Learning Ai Developer job openings:

Machine Learning Ai Developer jobs near you
Infographic showing various Machine Learning Ai Developer job openings in North Andover, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $119,022 per year, or $57.2 per hour.

Machine Learning Engineer

MatrixSpace

Burlington, MA • Remote

$165K - $200K/yr

Full-time

Re-posted 10 days ago

Job description

Help us bridge machine learning research and real-world deployment!

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.
We're looking for a hands-on Machine Learning Engineer who enjoys turning cutting-edge ML research into production-ready software. You'll partner closely with our Data Scientists, taking new algorithms and implementing them in performant, maintainable, and scalable production systems. You'll also help build the ML infrastructure and tooling that accelerates future research, while ensuring our AI solutions are reliable enough for real-world deployment.

If you're technically curious, highly collaborative, and motivated by solving complex real-world problems, we'd love to talk.

What You'll Do

  • Partner with Data Scientists to transform research algorithms into robust, production-quality software.
  • Implement machine learning algorithms in high-performance C++ and Python with a focus on maintainability, scalability, and real-time performance.
  • Build and improve machine learning infrastructure, tooling, and training pipelines that enable faster experimentation and more efficient model development.
  • Design and implement AI agents, agentic workflows, and LLM-powered applications.
  • Deploy and maintain AI workloads across edge, near-edge, and cloud environments.
  • Collaborate across engineering and research teams to transition prototypes into production systems.

What We're Looking For

This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.'

This is NOT a fully remote position!

Required

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field.
  • Strong hands-on programming experience in C++ and Python.
  • 3-5 years of experience developing and deploying machine learning systems in production environments.
  • Experience building AI agents, LLM-based applications, or intelligent automation systems.
  • Strong problem-solving skills and ability to work across the full development lifecycle.
  • Excellent written and verbal communication and collaboration skills.

Someone Who Will Thrive in This Role

  • Enjoys solving difficult technical challenges that span algorithms, software, and deployment.
  • Enjoys bridging the gap between research and production, finding practical engineering solutions that make advanced ML usable in real-world products.
  • Takes ownership and drives projects from concept through production.
  • Continuously explores new AI, ML, and agentic technologies.
  • Works effectively across multidisciplinary teams.
  • Balances research innovation with practical product delivery.
  • Builds side projects, experiments with emerging AI tools, or enjoys hands-on technical exploration.

Bonus Points

  • Experience with radar, RF sensing, sensor fusion, computer vision, robotics, or autonomous systems.
  • Experience with LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel, or similar frameworks.
  • Experience optimizing models for edge deployment usingTensorRT, ONNX,OpenVINO, TVM, or similar tools.
  • Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration.
  • Familiarity withMLOps, CI/CD, model monitoring, and large-scale production systems.

At MatrixSpace, Machine Learning Engineering is where advanced AI research becomes real-world capability. This is an engineering-heavy ML role focused on productionizing algorithms created by Data Scientists, with some ownership of the ML infrastructure that helps those Data Scientists move faster.