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Machine Learning Jobs in Worcester, MA (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Waltham, MA · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Varsity Tutors

Machine Learning Tutor

Newton, MA · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Xometry

Staff Machine Learning Engineer

Waltham, MA

$200K - $220K/yr

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Cognex

Senior Machine Learning Engineer

Natick, MA

$115K - $225K/yr

Cognex is a global leader in the exciting and growing field of machine vision. Our employees ... Essential Functions * Research, design, and implement efficient deep learning models ...

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See Worcester, MA salary details

$25.4K

$42.5K

$87.8K

How much do machine learning jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning in Worcester, MA is $42,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,900.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Worcester, MA? The most popular types of Machine Learning jobs in Worcester, MA are:
What are popular job titles related to Machine Learning jobs in Worcester, MA? For Machine Learning jobs in Worcester, MA, the most frequently searched job titles are:
What cities near Worcester, MA are hiring for Machine Learning jobs? Cities near Worcester, MA with the most Machine Learning job openings:
Machine Learning jobs near you
Machine Learning Scientist

Machine Learning Scientist

Roberts Recruiting

Waltham, MA • On-site

Other

Posted 20 days ago

Job description

We are MIT Media Lab spin-off,the pioneer in emotion recognition technology, the next frontier of artificial intelligence. We bringemotional intelligence to the digital world by measuring and analyzing facial expressions of emotion. We are growing our team to improve and expand our core technologies. We hope to help solve many unique and interesting problems focused around sensing, understanding and adapting to human emotion. This position is on the Science team, the team tasked with creating and refining our technology. This position is ideal for someone who is a great researcher that will contribute ideas and want to help shape the future of this space.
Responsibilities
  • Apply supervised and semi-supervised machine learning techniques on a variety of problems using our large dataset of spontaneous real-world face data
  • Experiment with deep architectures for the sensing and modeling of emotion
  • Prototype new forms of emotion sensing
  • Contribute to ourcore in-market SDK codebase
  • Other duties as assigned
Qualifications
  • A Masters/PhD degree in EE/Computer Science with specialization in machine learning, deep learning, computer vision or related areas.
  • Demonstrated experience (publications, projects) solving machine learning problems
  • Solid background and experience in "large-scale" machine learning methods, including, but not limited to, self-taught learning, transfer learning, co-training, and one-shot methods, as well as feature learning and deep convolutional architectures
  • Execute ideas effectively and efficiently

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