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Machine Learning Ai Developer Jobs in Somerville, MA

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 ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Senior Machine Learning Engineer, AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

QUALIFICATIONS: * 3+ years of experience in applied machine learning, AI engineering, or ML-focused software engineering roles, including significant work in production environments. * Hands-on ...

Senior Machine Learning Engineer, AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

QUALIFICATIONS: * 3+ years of experience in applied machine learning, AI engineering, or ML-focused software engineering roles, including significant work in production environments. * Hands-on ...

Lead AI Engineer

Quincy, MA · On-site

$107K - $141K/yr

Required : • Bachelor's degree in computer science, Data Science, Machine Learning, AI, or ... Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch ...

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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 ...

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Machine Learning Ai Developer information

See Somerville, MA salary details

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

As of Jul 25, 2026, the average hourly pay for machine learning ai developer in Somerville, MA is $58.25, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $66.11 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence or machine learning, such as senior AI researcher, lead data scientist, or AI architect, often requiring advanced skills, extensive experience, and expertise in tools like Python, TensorFlow, or PyTorch. Such roles usually involve strategic decision-making, innovation, and leadership in AI projects, and they tend to be found in large tech companies or specialized research organizations. Compensation at this level reflects the complexity and impact of the work, along with responsibilities like managing teams or developing cutting-edge AI solutions.

What engineer makes $500,000 a year?

Senior machine learning AI developers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of impactful projects.

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.

What is the salary of AI ML developer?

The salary of a Machine Learning AI Developer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in many regions. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries, especially with certifications and advanced degrees.

Which 3 jobs will survive AI?

For a Machine Learning AI Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as data scientists, AI ethics specialists, and AI system architects. These positions involve tasks that are difficult to automate and often require advanced domain knowledge, critical thinking, and collaboration skills. Continuous learning and expertise in tools like Python, TensorFlow, or cloud platforms enhance job security in this field.
What are popular job titles related to Machine Learning Ai Developer jobs in Somerville, MA? For Machine Learning Ai Developer jobs in Somerville, MA, the most frequently searched job titles are:
Infographic showing various Machine Learning Ai Developer job openings in Somerville, MA as of June 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $121,162 per year, or $58.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

MatrixSpace

Burlington, MA • Remote

$165K - $200K/yr

Full-time

Posted 17 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.