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Internship Machine Learning Jobs in Cincinnati, OH

We are a global leader in human resources technology, offering the latest AI and machine learning ... One to two years of prior work experience or internships in Retail, Marketing, Business Development ...

We are a global leader in human resources technology, offering the latest AI and machine learning ... One to two years of prior work experience or internships in Retail, Marketing, Business Development ...

Engineering Co-op FEC

Cincinnati, OH · On-site

$16 - $20.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Federal Equipment Company has been a leading supplier for marine deck machinery and specialized ... dynamic learning experience, and working as a valued member of our team. General internship ...

Showing results 21-35

Internship Machine Learning information

See Cincinnati, OH salary details

$24.5K

$40.9K

$84.4K

How much do internship machine learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for internship machine learning in Cincinnati, OH is $40,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,100.00 per year, depending on experience, location, and employer.

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

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the key skills and qualifications needed to thrive as an internship machine learning?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What is an internship machine learning?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.
What are the most commonly searched types of Machine Learning jobs in Cincinnati, OH? The most popular types of Machine Learning jobs in Cincinnati, OH are:
What are popular job titles related to Internship Machine Learning jobs in Cincinnati, OH? For Internship Machine Learning jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning jobs in Cincinnati, OH look for? The top searched job categories for Internship Machine Learning jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Internship Machine Learning jobs? Cities near Cincinnati, OH with the most Internship Machine Learning job openings:
Infographic showing various Internship Machine Learning job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $40,858 per year, or $19.6 per hour.

[US] Customer Success Intern

Benchmark Gensuite®

Mason, OH • On-site

Other

Re-posted 9 days ago


Job description

Customer Success Intern

Innovate with Benchmark Gensuite as a Customer Success Intern Everyone wants to make the world a better place. We work to make it happen. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, you'll be helping customers throughout the business community empower informed decision-making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion. Join us and help make the corporate world better for the planet and better for its employees. Benchmark Gensuite jobs play a crucial role in helping develop our unified EHS, Sustainability, and ESG digital transformation software solutions that enable cross-functional performance excellence, enhance businesses' sustainability efforts, and help them achieve their ESG goals. With our incredible global team, the collaborative spirit of our subscribers and partners, and the continuous innovation in exciting new technologies like Artificial Intelligence, Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and evolve your skills to develop fresh ideas and initiatives.

Benchmark Gensuite® enables companies to implement robust, cross-functional digital systems for EHS, Sustainability, and ESG Reporting through a unified digital platform—locally, globally and across diverse operating profiles. With intuitive, best-practice-based process functionality, flexible configurations, and powerful extensions, the Benchmark Gensuite® platform has helped companies worldwide manage their EHS, Sustainability; Quality; Operational Risk and Compliance; Product Stewardship, and Supply Chain Risks for over two decades; and now organically integrated with cutting-edge ESG disclosure reporting and management solutions. Join over 3 million users that trust Benchmark Gensuite® with their software system needs and benefit from rapid deployment and adoption, immediate return on investment (ROI), service excellence, and collaborative innovation.

Job Overview

We are seeking a motivated and customer-focused Customer Success Intern to join our Strategic Relationship Management team for a 10–12 week summer internship. This role offers hands-on experience supporting customer success initiatives, account growth strategies, and relationship management within a SaaS environment.

As an intern, you will work closely with our Customer Success and Account Management teams to help drive customer satisfaction, support ongoing projects, and identify opportunities for deeper engagement. This is an excellent opportunity for someone interested in building a career in Customer Success, Strategic Relationship Management (SRM), or Account Management, while gaining exposure to growth strategy in a fast-paced SaaS organization.

The ideal candidate is a strong communicator, highly organized, and eager to learn, with a genuine interest in business growth and customer relationships.

Key Responsibilities
  • Support the management of customer relationships by assisting with communications, follow-ups, and account activities
  • Help identify opportunities for account growth and deeper customer engagement through research and data analysis
  • Assist in planning and coordinating customer programs, meetings, and engagement initiatives
  • Collaborate with internal teams to support ongoing customer projects, pilots, and initiatives
  • Conduct research on customer needs, market trends, and competitive landscape to inform growth strategies
  • Help prepare presentations, reports, and materials for customer meetings and internal reviews
  • Participate in customer calls and internal strategy discussions to gain exposure to account management practices
  • Develop a foundational understanding of Benchmark's SaaS solutions and how they support customer success
Qualifications
  • Currently pursuing a Bachelor's degree in Business, Marketing, Finance, Entrepreneurship, or a related field
  • Expected graduation: Spring / May 2027
  • Available to work 40–45 hours per week during the summer internship
  • Strong interest in Customer Success, Account Management, Strategic Relationship Management, or Growth Strategy
  • Excellent communication and interpersonal skills
  • Strong organizational skills and ability to manage multiple tasks
  • Analytical mindset with attention to detail
  • Proficiency in Microsoft Office (Excel, PowerPoint, Word)
  • Interest in SaaS business models and growth strategy preferred
  • Ability to work both independently and collaboratively in a team environment
What You'll Gain
  • Hands-on experience in customer success and account management within a SaaS company
  • Exposure to strategic relationship management and growth initiatives
  • Opportunity to work with cross-functional teams and real customer accounts
  • Mentorship and professional development in a fast-paced, global environment

Questions about the position? Please contact our HR Team, at jobs@benchmarkdigital.com.