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Junior Full Stack Machine Learning Engineer Jobs in Massachusetts

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... Mentor junior engineers and contribute to shared tooling, documentation, and process improvements ...

Lead Machine Learning Engineer

Cambridge, MA

$112K - $147K/yr

Leverage a broad stack of Open Source and SaaS AI technologies. * Inform your ML infrastructure ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... Mentor junior engineers and contribute to shared tooling, documentation, and process improvements ...

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Familiarity with machine learning algorithms and techniques Exposure to Python, Apache, HAProxy ...

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Familiarity with machine learning algorithms and techniques Exposure to Python, Apache, HAProxy ...

Software Machine Learning Engineer

Reading, MA · On-site

$116.50 - $186.40/hr

Software Machine Learning Engineer Location: North Reading, MA, US Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and ...

Machine Learning Engineer

Boston, MA · On-site

$136.32 - $225.09/hr

## Machine Learning EngineerApplyremote type: Hybridlocations ... Bostontime type: Full timeposted on: Posted Todayjob requisition id: R-058400\*Telecommuting ...

Showing results 41-60

Junior Full Stack Machine Learning Engineer information

What is the difference between Junior Full Stack Machine Learning Engineer vs Junior Data Scientist?

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Massachusetts? The most popular types of Full Stack Machine Learning Engineer jobs in Massachusetts are:
What job categories do people searching Junior Full Stack Machine Learning Engineer jobs in Massachusetts look for? The top searched job categories for Junior Full Stack Machine Learning Engineer jobs in Massachusetts are:

Software Machine Learning Engineer

Teradyne

North Reading, MA • On-site

$116.50 - $186.40/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Job description

Software Machine Learning Engineer

Location: North Reading, MA, US

Opportunity Overview

As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and interpretable AI. You will work closely with cross‑functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision‑making processes, and provide transparent, explainable insights. This role emphasizes hands‑on development, experimentation, and collaboration rather than technical leadership.

Responsibilities
  • Design and implement pipelines for training, evaluation, and deployment of ML models.
  • Apply graph ML methods to model relationships in structured and unstructured data.
  • Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q‑learning) for optimization and decision‑making tasks.
  • Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention‑based methods) into ML systems.
  • Collaborate with software, product, and application engineering teams to integrate ML solutions into production systems.
  • Assist in defining evaluation metrics and validation strategies for ML models.
  • Work with internal stakeholders to understand engineering workflows and translate them into ML‑driven solutions.
  • Contribute to improving ML infrastructure, tooling, and best practices.
  • Experience with AI orchestration or agent frameworks (e.g., LangChain, AutoGen, etc.) is a plus.
All About You
  • 2+ years of experience in machine learning, applied AI, or related fields.
  • Hands‑on experience building and deploying ML models.
  • Exposure to production ML systems (MLOps, monitoring, deployment) is desirable.
  • Ability to work collaboratively across teams. Strong analytical and problem‑solving skills.
  • Basic understanding of software engineering practices and version control.
  • Ability to work cross‑functionally with product, software, and hardware teams.
  • Strong communication skills; comfortable engaging directly with customers and stakeholders.
  • Strong problem‑solving and reasoning skills
  • Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field (or equivalent industry experience).

We are only considering candidates local to position location and are unable to provide relocation for this position.

Compensation

The base salary range for this role is $116,500-$186,400. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.

Incentive Plan

This job is eligible for discretionary bonus(es) based on financial performance.

Benefits

Teradyne offers a variety of robust health and well‑being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please clickhere to see details.

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