ZipRecruiter

Log In

1

Knowledge Graph Engineer Jobs in Massachusetts (NOW HIRING)

Helen of Troy

Sr. AI Analytics Engineer

Marlborough, MA · On-site

$108K - $148K/yr

Hands-on experience with Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft Graph, Microsoft ... Working knowledge of statistical modeling, machine learning fundamentals, forecasting, anomaly ...

BCS365

Business Applications Engineer

Rockland, MA · Remote

$90K - $128K/yr

Working knowledge of Microsoft Graph API for M365 workload integration * Experience with PowerShell ... Microsoft Power Platform Developer (primary preference) * PL-600: Microsoft Power Platform Solution ...

Helen of Troy

Sr. AI Analytics Engineer

Marlborough, MA · On-site

$108K - $148K/yr

Hands-on experience with Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft Graph, Microsoft ... Working knowledge of statistical modeling, machine learning fundamentals, forecasting, anomaly ...

New

Vrtx

Associate Director, Customer Master Lead

Boston, MA

$41K - $49K/yr

Own the customer domain ontology and knowledge graph, including design, development, and ongoing ... Partner with Data Engineering, Data Governance, and Validation teams to ensure platform ...

Wsgr

Principal Cloud Infrastructure Engineer

Boston, MA · On-site +1

$147K - $198K/yr

... DevOps, Power Platform, Graph API, Foundry, as well as new technologies as they are released ... Advanced knowledge Azure best practices as it relates to deployment, scaling, data protection, and ...

Helenoftroy

Sr. AI Analytics Engineer

Marlborough, MA · Hybrid

Hands-on experience with Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft Graph, Microsoft ... Working knowledge of statistical modeling, machine learning fundamentals, forecasting, anomaly ...

Anduril Industries

GNC Software Engineer

Waltham, MA

Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling ... Ability to engineer robust systems for planning under uncertainty, multi-agent coordination, and ...

Blitzy

Principal Software Engineer

Cambridge, MA · On-site

$148K - $199K/yr

... Knowledge of Node.js and JavaScript (supporting languages). • Expertise across at least two of ... MongoDB, Cassandra, DynamoDB, or similar. • Experience with graph databases (Neo4j) for modeling ...

Koitecc Solutions

Lead Software Engineer

Boston, MA · On-site

$90 - $180/hr

Working knowledge of Dataverse, SharePoint, premium connectors, service accounts, and gateway ... Experience with automation or reporting using PowerShell, Microsoft Graph, Power Platform ...

previous page

Showing results 41-60

All JobsKnowledge Graph Engineer JobsKnowledge Graph Engineer Jobs in Massachusetts

Knowledge Graph Engineer information

What are popular job titles related to Knowledge Graph Engineer jobs in Massachusetts?

For Knowledge Graph Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Knowledge Graph Engineer jobs in Massachusetts look for?

The top searched job categories for Knowledge Graph Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Knowledge Graph Engineer jobs?

Cities in Massachusetts with the most Knowledge Graph Engineer job openings:

Knowledge Graph Engineer jobs near you
Infographic showing various Knowledge Graph Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Software Machine Learning Engineer

Teradyne

North Reading, MA • On-site

$116K - $186K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.


We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.


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.

  • 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

We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum criteria for the position.

  • 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 click here to see details.

Apply