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Machine Learning Jobs in Worcester, MA (NOW HIRING)

Worcester Polytech

Post-Doctoral Fellow

Worcester, MA · On-site

$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 ...

Netpace Inc

Engineer (JL=15) (726452)

Framingham, MA · On-site

$124K - $149K/yr

... machine/deep learning development tool set, such as AI developer studios, for customer data scientists, to produce turn-key AI-Driven IT products and solutions • Responsible for Huawei AI-Driven ...

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All JobsMachine Learning JobsMachine Learning Jobs in Worcester, MA

Machine Learning information

See Worcester, MA salary details

$25.4K

$42.5K

$87.8K

How much do machine learning jobs pay per year?

As of Sep 6, 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?

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 the 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 a machine learning position?

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.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

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 job categories do people searching Machine Learning jobs in Worcester, MA look for?

The top searched job categories for Machine Learning jobs in Worcester, MA 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
Infographic showing various Machine Learning job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $42,491 per year, or $20.4 per hour.

Manager, Machine Learning on Orbit

Bostondynamics

Waltham, MA • On-site

$187K - $275K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

Boston Dynamics is building the world's most advanced robots. The Spot quadruped robot performs inspections on thousands of sites around the world, helping customers to inspect, operate and optimize their industrial facilities.

We are seeking a highly experienced and motivated Manager, Machine Learning to support our Orbit team. Boston Dynamics is uniquely positioned to capture millions of multimodal datapoints from within industrial environments. This data feeds into the Orbit intelligent automation platform, coordinating robot fleets on hundreds of sites today.

In Orbit, we're building a foundation model with leading zero-shot performance on common industrial inspection tasks. In this role you will have the opportunity to design, build, and continuously improve Orbit's machine learning systems.

In this role you will:

  • Be a lead on a team of ~5 machine learning engineers.

  • Research, prototype, and deploy models leveraging multimodal data from robotic sensors to extract useful site information - anomalous machine states, object classification, etc.

  • Establish effective methods of evaluating inspection model performance.

  • Curate datasets to be used in model training, fine-tuning and evaluation.

  • Identify and employ model performance improvement strategies - e.g. fine tuning, model selection, and prompt engineering.

You will be a part of the Spot Applications Organization. Here you will work alongside full stack engineers and in close coordination with product management and design. You will be supported by ml platform engineers, and collaborate with researchers across Boston Dynamics.

We are looking for:

  • BS and 10+ years of experience, or MS and 7+ years of industry experience in Computer Science, Machine Learning, Robotics, or a related field.

  • Expert-level software development skills, particularly in python, with a strong command of software architecture, design patterns, and performance optimization techniques.

  • Experience training, fine tuning, and applying state of the art generative ai models. Preferably focused on computer vision tasks.

  • Experience with common ML tools (CUDA, pytorch), architectures and workflows.

  • Ability to track the current state of the art, and identify opportunities for product applications.

  • A willingness to dive deep into challenging problems in computer vision, develop creative customer-focused solutions in collaboration with teammates, and clearly communicate findings.

The salary or hourly pay range for this position will be clearly stated in the job posting as required by Massachusetts law. The base pay range for this position is between $187,580- 275,117. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

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