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Machine Learning Jobs in Worcester, MA (NOW HIRING)

Worcester Polytech

Post-Doctoral Fellow

Worcester, MA

$65K - $75K/yr

The project is sponsored by a National Institutes of Health grant aimed at using machine learning to identify biopsychosocial predictors of the response to a mindfulness intervention for chronic low ...

Boston Dynamics

Staff, ML Research Scientist

Waltham, MA · On-site

$154K - $192K/yr

As a Staff ML Research Scientist on the Machine Learning Safety R&D Team , you will join a small cross-functional group developing machine learning models that will enable our robots to operate ...

Worcester Polytech

Post-Doctoral Fellow

Worcester, MA

$45K - $70K/yr

The position also involves the integration of machine learning and AI-assisted approaches into materials modeling workflows. The postdoctoral researcher is expected to work independently, develop ...

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$25.4K

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How much do machine learning jobs pay per year?

As of Jun 8, 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
Staff Machine Learning Engineer - Generative AI

Staff Machine Learning Engineer - Generative AI

Xometry

Waltham, MA • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.

Responsibilities: 

  • Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation.
  • Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace.
  • Build cutting-edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
  • Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
  • Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets.
  • Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into production at scale.
  • Collaborate widely - Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
  • Mentor and grow - Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
  • Stay ahead - Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.

Qualifications: 

  • Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus.
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
  • Hands-on experience with multimodal data (text, images, 3D).
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
  • Solid grounding in probability, statistics, and optimization for generative modeling.
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
  • Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more.
  • Must be a U.S. Citizen or Green Card holder (ITAR compliance)

The estimated base salary range for new hires into this role is $140,000-$230,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location.  We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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