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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

Landscape Install Intern

Ruppert Companies

Centre Hall, PA • On-site

$19 - $21/hr

Full-time, Internship

Posted 4 days ago

Job description

Description

LANDSCAPE INSTALL INTERNSHIP 

Who We Are 

Ruppert Landscape is a leading provider of commercial landscape maintenance and installation services with more than 3,500 employees serving customers from 55+ branches across the Northeast, Mid-Atlantic, and Southeastern US. We take pride in delivering reliable, high-quality services on a wide range of commercial properties and construction projects. For over 50 years, our mission has been to provide opportunities for our people, take care of our customers, and be good stewards of the environment and our community. 

Where You Fit In 

Our Landscape Install 10-12-week paid internship program offers a hands-on, well-rounded experience that provides insight into every aspect of branch operations. We’re looking for motivated, driven individuals who are eager to learn, take initiative, and make a meaningful impact as part of a collaborative team. 

If you’re passionate about the commercial landscape industry, enjoy working in a fast-paced environment, and are looking for an opportunity to gain real-world experience, this internship is a great place to start. You’ll build practical skills, expand your industry knowledge, and gain exposure to day-to-day operations through meaningful projects—providing a strong foundation as you explore career paths and prepare for your future after graduation. 

This is a field-focused program that builds your knowledge of field operations to prepare for a successful career in the commercial landscape industry. Your schedule will be customized based on various roles and specific projects, with a significant portion of the program spent outside.  
 

Program Overview: 

  • Hands-On Field Training: Gain hands-on experience in multiple areas of field operations, working alongside crews and developing a comprehensive understanding of landscape production and branch operations. 
  • Job Shadowing: Gain exposure to key areas of the business by observing and engaging with teams involved in Project Management, Estimating, Sales, and Operations to gain a deeper understanding of daily workflows and responsibilities.  
  • Dedicated Mentorship: Work alongside an experienced mentor who will guide your progress, offer regular feedback, and support your professional development throughout the internship. 
  • Management & Leadership Development: Gain exposure to team building, professional etiquette, communication, leadership, and management best practices to help prepare you for future roles. 
  • Collaborative Team Environment: Contribute to meaningful projects while working alongside skilled professionals and fellow interns, fostering teamwork and shared learning. 
  • Professional Networking: Build lasting relationships with peers, mentors, and leaders within the organization, expanding your professional network and industry connections. 
  • Intern Choice Experience: Interns will have an opportunity to gain further training in the department of their choice at the end of the program as they wrap up their internship.  
  • Final Presentation: At the end of the program, interns will present their internship experience, highlighting key field experiences, projects, lessons learned, skills developed, and how they experienced and contributed to Ruppert’s culture and values. 
  • Career Pathways: Top-performing interns may be considered for full-time employment opportunities following graduation. 

Internship Duration: May–August 2027 (10–12 weeks) 

Qualifications: 

  • High School Diploma or GED equivalent required  
  • Candidates must be actively pursuing a degree in Horticulture, Turf Management, Agribusiness, Business Management, Operations Management, Construction Management, or related field.  
  • Strong problem-solving skills and the ability to adapt in a hands-on, fast-paced environment 
  • Interest in working in a team-oriented, customer-focused industry with a willingness to support a variety of operational needs 
  • Comfortable working in both office and outdoor field environments 
  • Ability to safely lift and carry up to 50 pounds as part of routine job duties 
  • Proficient in the use of computers and common software applications, including Microsoft Outlook, Excel, Word, and PowerPoint  

What We Offer 

  • $19–21 per hour, depending on experience 
  • Practical, real-world experience in both field and office operations 
  • In-depth industry exposure and skill development 
  • Professional networking opportunities 
  • A people-first, family-oriented culture where teamwork, respect, and growth matter and where your hard work is recognized and appreciated 
  • Participation in local branch events and team activities 

Why Ruppert 

Our success starts with our people. We are committed to creating opportunities for our team members to grow, lead, and build meaningful careers. Through hands-on training, strong mentorship, and a collaborative team environment, we invest in developing talented individuals who take pride in their work and in supporting one another. 

Guided by our core values, we are dedicated to doing the right thing for our employees, our customers, and our communities. From maintaining safe work sites to promoting environmental stewardship, we strive to make a positive, lasting impact everywhere we work. 

Ruppert Landscape is an Equal Opportunity and E-Verify Employer.  

This job description is subject to change at any time. 

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