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

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Learning Specialist

New London, NH · On-site

This position splits its time between reviewing supporting documentation and requests for accommodations from students at the undergraduate and graduate level; following the interactive process to ...

Colby-Sawyer College

Learning Specialist

New London, NH · On-site

Description This position splits its time between reviewing supporting documentation and requests for accommodations from students at the undergraduate and graduate level; following the interactive ...

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Lebanon, NH

Machine Learning Intern information

See Lebanon, NH salary details

$28.6K

$47.7K

$98.6K

How much do machine learning intern jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning intern in Lebanon, NH is $47,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,400.00 and $51,600.00 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 popular job titles related to Machine Learning Intern jobs in Lebanon, NH? For Machine Learning Intern jobs in Lebanon, NH, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Lebanon, NH look for? The top searched job categories for Machine Learning Intern jobs in Lebanon, NH are:
What cities near Lebanon, NH are hiring for Machine Learning Intern jobs? Cities near Lebanon, NH with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Lebanon, NH as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,723 per year, or $22.9 per hour.

Learning Specialist

Career Search

New London, NH • On-site

Full-time

Posted 28 days ago

Job description

This position splits its time between reviewing supporting documentation and requests for accommodations from students at the undergraduate and graduate level; following the interactive process to determine appropriate accommodations; providing students guidance on how to access support services; and providing executive functioning coaching all in an effort to empower students to be independent, successful, and confident learners. This is a 20 hour/week 9month/year position reporting to the Director of Access Resources.

Essential Job Functions

  • Review and interpret relevant documentation (including Psychoeducational and Neuropsychological evaluations) and conduct student interviews necessary to gather all relevant information needed to determine appropriate accommodations.
  • If approved, develop an appropriate letter of accommodation.
  • Manage a student caseload (determined by the Director). Provide students with weekly meetings focusing on individualized study, social-emotional, and executive functioning skills to meet student needs.
  • With the director, work with students, faculty, staff, and other constituents to meet the needs of students with disabilities.
  • Encourage students' use of support services available throughout campus including Baird Health and Counseling, Harrington Center, Res Ed, peer/professional tutoring at the SLC, and the library.
  • Stay informed of disability laws, maintain confidentiality according to FERPA, and maintain detailed, confidential, and accurate notes about student meetings and progress.
  • Demonstrate proficiency in oral and written communications, research, analytical and problem-solving skills.
  • Work with varied student situations professionally and confidentially.
  • Partner with the Director in developing policies and maintaining compliance with CSC policies, ADA as amended, Section 504, and federal and state laws.
  • Assist in proctoring accommodated exams.
  • Coordinate peer-note takers and distribution of class notes while maintaining student confidentiality.

Qualifications

  • Bachelor's Degree in Special Education or in a related field; Master's preferred.
  • 1-3 years' experience in areas of special education or working with students with disabilities in a Higher Education setting: training that includes college-level disability services, disability assessment, and ADA/504 compliance.
  • Ability to communicate with a wide constituency and target written communication to specific audiences (faculty, students, staff, families, and community members).
  • Broad base of technical knowledge and skills related to organizing and maintaining records systems.
  • Expertise in Microsoft Office and the ability to learn new software packages as needed.
  • An understanding of disability and confidentiality regulations pertaining to higher education.
  • Sensitivity and respect for cultural, educational, gender, religious, racial, and socioeconomic differences.

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