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Machine Learning Intern Jobs in Woburn, MA (NOW HIRING)

Dothouse Health

Volunteer/ Intern

Dorchester, MA · On-site

$15.75 - $21/hr

Job Type Part-time Description SUMMARY The Community Health Intern provides an opportunity in a structured learning environment to set and evaluate personal and professional goals and objectives ...

Childrens Services Of Roxbury

Intern Manager

Roxbury, MA · On-site

$65K/yr

The Internship Manager develops learning contracts and objectives, collaborating with academic ... Develop the intern structure. * Execute and secure new College/University partners * Participate ...

Delsys

R&D Software Engineer (Intern)

Natick, MA · On-site

$28 - $34/hr

Primary Responsibilities: • Design and implement machine learning and computer vision pipelines that directly contribute to our core research • Translate proven research algorithms and solutions ...

3ds

INTERNSHIP: AI for CFD

Waltham, MA · On-site

The intern will collaborate closely with software developers, AI engineers, and product managers to ... Validate machine learning surrogate models against high-fidelity CFD simulations and experimental ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Woburn, MA

Machine Learning Intern information

See Woburn, MA salary details

$27.9K

$46.6K

$96.3K

How much do machine learning intern jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning intern in Woburn, MA is $46,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Woburn, MA? The most popular types of Machine Learning jobs in Woburn, MA are:
What job categories do people searching Machine Learning Intern jobs in Woburn, MA look for? The top searched job categories for Machine Learning Intern jobs in Woburn, MA are:
What cities near Woburn, MA are hiring for Machine Learning Intern jobs? Cities near Woburn, MA with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Woburn, MA as of August 2026, with employment types broken down into 14% Internship, 28% Full Time, 29% Part Time, and 29% Temporary. Highlights an 100% In-person job distribution, with an average salary of $46,581 per year, or $22.4 per hour.

Internship - Foundation Models for Humanoid Robots

Mitsubishi Electric Research Laboratories

Cambridge, MA • On-site

Internship

Posted 7 days ago

Job description

MERL is seeking a highly motivated Ph.D. student to conduct research on foundation models for humanoid robot loco-manipulation in factory automation, with a focus on understanding their capabilities, limitations, safety, and robustness. The internship will focus on developing humanoid systems for material handling tasks such as box/cart transportation, kitting, tool manipulation, failure recovery, and other mobile manipulation tasks in warehouse and manufacturing environments. The intern will collaborate closely with MERL researchers to develop novel algorithms that integrate Vision-Language-Action (VLA) models, world models, and robot control for robust long-horizon manipulation on real humanoid platforms. Successful candidates should have demonstrated research experience in embodied AI, robot learning, or computer vision, with the goal of publishing at leading robotics and AI conferences. Start date and duration is flexible.
Required Specific Experience
  • Current enrollment in a Ph.D. program in Mechanical Engineering, Computer Science, Electrical Engineering, or a related field.
  • Hands-on research experience with Vision-Language-Action (VLA) models and/or multimodal foundation models for robotics.
  • Research experience with world models for robotic planning, prediction, or decision making.
  • Sim-to-real transfer and robotic simulation (Isaac Lab, MuJoCo.).
  • Strong publication record or demonstrated research potential in robotics, embodied AI, computer vision, or machine learning. Must have some publications in top robotic or AI conferences / journals (e.g., RSS, ICRA, T-RO, RA-L, NeurIPS, ICML etc).

Desired Experience
  • Contact-rich manipulation and force-controlled manipulation.
  • Whole-body control for humanoid robots.
  • Dexterous manipulation or bimanual manipulation.
  • Reinforcement learning or imitation learning for robotics.
  • Robot perception, 3D vision, or state estimation.
  • Sim-to-real transfer and robotic simulation (Isaac Lab, MuJoCo).
  • Experience deploying algorithms on humanoid platforms.

The pay range for this internship position will be 6-8K per month.

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