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Internship Full Stack Machine Learning Engineer Jobs in Belmont, MA

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Strong problem-solving skills and ability to work across the full development lifecycle ... At MatrixSpace, Machine Learning Engineering is where advanced AI research becomes real-world ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Tutor

Full Stack Software Engineer

Watertown, MA · On-site

The role of Full Stack Software Engineer involves architecting and engineering core software for robot systems, backend services, and machine learning applications, contributing to impactful ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

... full lifecycle. If you care about impact and want to help define the future of applied AI in health ... Background in multimodal or stacked models, especially combining CV outputs with tabular data.

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation ...

STR

Machine Learning Engineer

Woburn, MA

$115K - $140K/yr

Proficient with Python and the traditional data science and machine learning stack, namely NumPy ... Solid understanding of software engineering principles, including testing, scalability ...

New

Harvard University

Machine Learning Engineer

Boston, MA · On-site +1

... Machine Learning Engineer with advanced expertise to lead development of large language models ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

$60/hr

... Machine Learning Engineer with advanced expertise to lead development of large language models ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...

STR

Machine Learning Engineer

Woburn, MA

$115K - $140K/yr

Proficient with Python and the traditional data science and machine learning stack, namely NumPy ... Solid understanding of software engineering principles, including testing, scalability ...

New

STR

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

Proficient with Python and the traditional data science and machine learning stack, namely NumPy ... Solid understanding of software engineering principles, including testing, scalability ...

New

STR

Machine Learning Engineer

Boston, MA

$115K - $140K/yr

Proficient with Python and the traditional data science and machine learning stack, namely NumPy ... Solid understanding of software engineering principles, including testing, scalability ...

New

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation ...

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All JobsFull Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer Jobs in Belmont, MA

Internship Full Stack Machine Learning Engineer information

See Belmont, MA salary details

$49.1K

$148.8K

$210.3K

How much do internship full stack machine learning engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for internship full stack machine learning engineer in Belmont, MA is $148,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $174,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Full Stack Machine Learning Engineer, and why are they important?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is an Internship Full Stack Machine Learning Engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What types of projects and responsibilities can I expect as an Internship Full Stack Machine Learning Engineer?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Belmont, MA look for? The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Belmont, MA are:
Internship Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer

MatrixSpace

Burlington, MA • Remote

$165K - $200K/yr

Full-time

Posted 23 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.