ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Waltham, MA (NOW HIRING)

Teradyne

Software Machine Learning Engineer

North Reading, MA · On-site

$116K - $186K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

  • PTO

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...

DraftKings

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 production-grade data and machine learning pipelines that drive measurable business outcomes. You'll ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview: The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role centers on leading the design and delivery of ...

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Waltham, MA

Machine Learning Engineer information

See Waltham, MA salary details

$34K

$138.9K

$208.8K

How much do machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning engineer in Waltham, MA is $138,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $167,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Waltham, MA?

The most popular types of Machine Learning Engineer jobs in Waltham, MA are:

What are popular job titles related to Machine Learning Engineer jobs in Waltham, MA?

For Machine Learning Engineer jobs in Waltham, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Waltham, MA look for?

The top searched job categories for Machine Learning Engineer jobs in Waltham, MA are:

What cities near Waltham, MA are hiring for Machine Learning Engineer jobs?

Cities near Waltham, MA with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Waltham, MA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $138,923 per year, or $66.8 per hour.

Software Machine Learning Engineer

Teradyne

North Reading, MA • On-site

$116K - $186K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

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