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Machine Learning Research Intern Jobs in Worcester, MA

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

As an intern at Saint-Gobain Research North America, you will be directly involved in R&D projects within one of our material platforms: abrasives, ceramics, construction products, high-performance ...

As an intern at Saint-Gobain Research North America, you will be directly involved in R&D projects within one of our material platforms: abrasives, ceramics, construction products, high-performance ...

2027 Intern - Technology

Worcester, MA · On-site

$15 - $20/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

2027 Intern - Technology

Worcester, MA · On-site

$15 - $20/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

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 ...

2027 Intern - Technology

Babson Park, MA · On-site

$16.50 - $21.75/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

2027 Intern - Technology

Babson Park, MA · On-site

$16.50 - $21.75/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

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 ...

Showing results 41-60

Machine Learning Research Intern information

See Worcester, MA salary details

$25.4K

$42.5K

$87.8K

How much do machine learning research intern jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning research intern 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 does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in Worcester, MA?

For Machine Learning Research Intern jobs in Worcester, MA, the most frequently searched job titles are:

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

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What cities near Worcester, MA are hiring for Machine Learning Research Intern jobs?

Cities near Worcester, MA with the most Machine Learning Research Intern job openings:

Infographic showing various Machine Learning Research Intern job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,491 per year, or $20.4 per hour.

Machine Learning Engineer

Bespoke Labs

Worcester, MA • On-site

Full-time

Re-posted 18 days ago


Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems