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Machine Learning Intern Jobs in State College, PA

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Machine Learning Intern information

See State College, PA salary details

$24.9K

$41.6K

$86.1K

How much do machine learning intern jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning intern in State College, PA is $41,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 per year, depending on experience, location, and employer.

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 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 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 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 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.

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Machine Learning Intern jobs near you

Geotechnical Lab and Field Summer Intern

Hillis-Carnes

State College, PA • On-site

Temporary, Internship

Re-posted 24 days ago

Job description

Hillis-Carnes Engineering Associates is a top-tier, multi-disciplined engineering firm with a demonstrated history of success for the past 30 years (and counting!) Just ask Engineering News-Record who named us to its ranking of "Top 500 Design Firms in the Nation" for our continued rapid growth and success. Our achievements can be contributed to multiple facets, but above all we are successful because of our motivated employees who strive to make every day count. For this exact reason, we strongly believe in fostering teamwork, rewarding ambition, and providing opportunities for professional advancement.YOUR ROLE:As a Summer College Intern in our State College office, you will directly play an integral role in the success of our organization and the early formation of your professional career. As part of this team, you will work under minimal supervision or in collaboration with our knowledgeable, dynamic staff on a wide variety of projects.We have two levels for interns. Level 1 interns are Freshman and Sophomores. Level 2 interns are Juniors, Seniors and Graduate students. Level 1 interns will primarily be assigned lab tasks for our construction materials testing projects. Moreover, some key responsibilities will include assisting our lab manager, you will learn and execute lab testing of soils to include sieve analysis, Atterberg limits and compressive strength testing of concrete cylinder samples. You could also be assigned field tasks on our construction materials testing projects. Field tasks could include field observation, sampling and testing of construction materials, followed by clear documentation of results. Some materials you may work with in the field include (but are not limited to) soils, aggregates, concrete, grout, masonry, asphalt and structural steel placement. Level 2 interns will do a mix of Level 1 tasks along with office assignments working alongside other professionals. Level 2 interns may assist in report creation, soil classification, and other technical roles as directed by a professional. REQUIREMENTS:Commitment to work up to 10 weeks during the summer months. The weeks do not have to be contiguous.Reliable vehicle for construction sites, valid driver's license and satisfactory driving record.-Must complete pre-employment requirements-Ability to lift and/or move up to 60-80 pounds (soil and concrete samples, nuclear gauges, etc.)-Effective verbal and written communication skills.-Ability to perform basic mathematical procedures and use measurement tools.-Civil Engineer (Geotechnical) students highly desirable but other Geology or Engineering disciplines are encouraged to apply.
Job Posted by ApplicantPro