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Machine Learning Intern Jobs in Nashua, NH (NOW HIRING)

Specialty Clinical Intern

Lexington, MA · On-site

$16.75 - $22.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Specialty Clinical Intern Lexington Join Eliot - A Place to Belong, Grow, and Inspire Change At ... Eliot has a variety of learning opportunities with many talented and experienced supervisors who ...

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Machine Learning Intern information

See Nashua, NH salary details

$25.8K

$43K

$88.9K

How much do machine learning intern jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning intern in Nashua, NH is $43,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,500.00 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.

What are the most commonly searched types of Machine Learning jobs in Nashua, NH? The most popular types of Machine Learning jobs in Nashua, NH are:
What job categories do people searching Machine Learning Intern jobs in Nashua, NH look for? The top searched job categories for Machine Learning Intern jobs in Nashua, NH are:
What cities near Nashua, NH are hiring for Machine Learning Intern jobs? Cities near Nashua, NH with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Nashua, NH as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,002 per year, or $20.7 per hour.

Amazon Robotics - 2026 Supply Chain Intern/Co-op, Robotics Supply Chain

Amazon

North Reading, MA

$18.75 - $25.25/hr

Full-time

Re-posted 28 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,082 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Are you inspired by invention. Is problem solving through teamwork in your DNA. Do you like the idea of seeing how your work impacts the bigger picture.

Answer yes to these questions and you'll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers experiences in ways we can't even image yet. We invent new improvements every day.
Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation

Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.
Come join us in North Reading, MA, or in our newly expanded innovation hub in Westborough, MA. Both campuses provide a unique opportunity for co-ops to have direct access to robotics testing labs and manufacturing facilities


The Supply Chain Co-Op works within the Supply Chain organization to support the development of business processes for the Supply Chain Planning, Strategic Sourcing, Logistics, and Systems and Tools teams. The Co-Op should have a good understanding of supply chain, operations, finance, and general business practices.
Please note that by applying to this role you would be considered for Robotics Supply Chain 2026 summer intern, spring co-op, and fall co-op roles on various Amazon Robotics teams. These teams work on robotics supply chain within procurement, demand planning, logistics, commodity management, and others


Key job responsibilities
-Developing an understanding of our Supply Chain and Systems and Tools processes and identify targets for improvement in transactional and operations efficiencies
-Supporting the execution of supply chain cost/lead time, safety stock, procurement, planning, warehousing/logistics, and/or new product introduction programs, including the exploration of opportunities across multiple Amazon business units
-Leading projects to automate our cross-functional processes between Supply Chain, Finance, Operations, Deployment, and Engineering
-Developing processes and mechanisms related to expanding capacity and programs in our Robotics Operations Center of Excellence
-Developing efficient and accurate metrics and mechanisms for measuring and reporting supply chain performance. Support the introduction of new software/tools/dashboards
-Actively support and foster a culture of inclusion


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US