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Summer Artificial Intelligence Machine Learning Jobs

International Executive Service Corps

$150 - $200/hr

FTS has an opportunity for an Artificial Intelligence/Machine Learning Systems Engineer in Chantilly, VA. TheArtificial Intelligence/Machine Learning Systems Engineer willsupport a USG Program Office ...

Everwatch

$100 - $125/hr

Artificial Intelligence/Machine Learning Engineer Overview EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical ...

Talanto

$200 - $250/hr

Lead Artificial Intelligence/Machine Learning Engineer Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or ...

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Summer Artificial Intelligence Machine Learning information

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$25.5K

$42.6K

$88K

How much do summer artificial intelligence machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for summer artificial intelligence machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a Summer Artificial Intelligence Machine Learning?

A Summer Artificial Intelligence (AI) Machine Learning (ML) job is a temporary internship or position, typically offered to students or recent graduates during the summer months, that focuses on working with AI and ML technologies. In these roles, participants gain hands-on experience by collaborating on projects involving data analysis, developing machine learning models, and implementing AI algorithms. These positions are designed to help individuals build practical skills, expand their technical knowledge, and explore potential career paths in the rapidly growing field of AI and ML.

What types of projects can I expect to work on during a Summer Artificial Intelligence Machine Learning internship?

As a Summer Artificial Intelligence Machine Learning intern, you can expect to contribute to projects involving data preprocessing, model training, and evaluation under the guidance of experienced mentors. Typical tasks may include developing and testing new algorithms, analyzing large datasets, and supporting the deployment of machine learning models. You'll often collaborate closely with data scientists, software engineers, and other interns, gaining exposure to real-world AI challenges and industry-standard tools. This hands-on experience not only builds technical skills but also improves teamwork and communication abilities, laying a strong foundation for a future career in AI and ML.

What are the key skills and qualifications needed to thrive as a Summer Artificial Intelligence Machine Learning intern, and why are they important?

To thrive as a Summer Artificial Intelligence Machine Learning intern, you need a solid background in mathematics, statistics, and programming (often Python), typically supported by coursework or projects in machine learning or data science. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is commonly expected. Strong problem-solving skills, curiosity, and the ability to collaborate effectively within diverse teams are valuable soft skills for this role. These competencies are crucial for successfully developing, implementing, and refining AI models in a fast-paced, innovation-driven environment.

What is the difference between Summer Artificial Intelligence Machine Learning vs Summer Data Science?

AspectSummer Artificial Intelligence Machine LearningSummer Data Science
Required CredentialsBachelor's or Master's in CS, AI, ML, or related fieldsBachelor's or Master's in CS, Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, startupsData analysis teams, consulting firms, tech companies
Industry UsageDeveloping AI models, ML algorithms, automationData analysis, visualization, business insights
Common Search/ComparisonYesYes

Summer Artificial Intelligence Machine Learning focuses on developing AI systems and algorithms, often involving programming and model training. Summer Data Science emphasizes analyzing and interpreting data to generate insights. While both roles require strong technical skills and similar educational backgrounds, AI/ML roles are more research and development-oriented, whereas Data Science roles focus on data analysis and visualization.

What cities are hiring for Summer Artificial Intelligence Machine Learning jobs?

Cities with the most Summer Artificial Intelligence Machine Learning job openings:

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs?

The most popular types of Artificial Intelligence Machine Learning jobs are:

What states have the most Summer Artificial Intelligence Machine Learning jobs?

States with the most job openings for Summer Artificial Intelligence Machine Learning jobs include:

What other helpful pages are available for Summer Artificial Intelligence Machine Learning?

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Summer Artificial Intelligence Machine Learning jobs near you
Infographic showing various Summer Artificial Intelligence Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Artificial Intelligence/Machine Learning Engineer

Indianapolis, IN • On-site

Indiana Electric Cooperatives
Utilities • 11 - 50 employees
Learn more about Indiana Electric Cooperativesexternal

$125 - $150/hr

Other

PTO

Posted 7 days ago

Key responsibilities

  • Design, implement, and support artificial intelligence and machine learning systems.

  • Present AI and data findings to technical and non-technical stakeholders.

  • Perform complex analysis on large data sets and develop AI models for tasks such as predictive maintenance and load forecasting.

Job description

Artificial Intelligence/Machine Learning Engineer About Us

Headquartered in Indianapolis, Indiana, Wabash Valley Power is a not-for-profit electric cooperative and wholesale provider of reliable, affordable electricity to our 21 electric distribution member cooperatives. These cooperatives in turn serve more than 280,000 homes, businesses, and farms in Indiana and Illinois.

As a not-for-profit co-op, we do things a bit differently—and that’s the point. Because we aren’t influenced by shareholders, we make our decisions with our members in mind. That means we value things like teamwork, and putting families first. It also means a business model that’s designed for stability and growth. It’s a Deliberately Different approach to the energy industry, and that’s great news for the people who count on us.

What You’ll Get
  • No Sweat – We offer a wellness program that includes a payroll credit for medical insurance, an on-site fitness center for your convenience and extra vacation days for participating. We’ll even throw in a fitness device reimbursement to keep you on track!
  • Flex Time – Our flexible schedule means you can work in your appointments or family events and maintain a comfortable work-life balance.
  • Stay in School – We value employees who have a desire to learn, so we provide funds for continuing education. We also offer in-house training and ongoing development through our internal GROW program.
  • Keep it Casual – When you work for us, you work in comfort. Blue jeans are the norm in our office, and we make them look good!
  • Work Hard, Play Hard – We reward our employees with generous vacation time, to the tune of up to five weeks off a year. Even our new employees receive credit for prior work experience.
Job Description

This position will design, implement, and support artificial intelligence (AI)/machine learning (ML) systems as the subject matter expert for Wabash Valley Power Alliance. This position will work with all business units, member cooperatives, and business partners to automate and optimize workflows and processes while limiting business risks. Success requires a desire to work with a broad range of technologies, systems, and databases to benefit Wabash Valley Power and our Member Cooperatives. This position will also identify and develop AI/ML education for Wabash Valley Power and member cooperative staff.

This role is hybrid in nature, with a combination of on-site workdays and remote workdays.

Essential Duties and Responsibilities
  • Maintain compliance with all company policies and procedures
  • Present artificial intelligence and data findings to technical and non-technical stakeholders
  • Design, implement, administer, monitor, and maintain artificial intelligence/machine learning systems
  • Design, analyze, and maintain system algorithms including data models, natural language models, and machine learning models
  • Train and evaluate artificial intelligence systems to ensure systems remain accurate with limited hallucinations
  • Perform complex analysis on large data sets and communicate meaningful intelligence to Technical Service Leadership
  • Research, prototype, and recommend new technology platforms or systems to improve business workflows and reduce risks
  • Maintain a constant level of expertise in all artificial intelligence technologies including but not limited to generative AI, machine learning, natural language processing, and deep learning
  • Develop and maintain computer code needed for artificial intelligence system and business automation systems
  • Develop and implement AI models for tasks such as:
    • Predictive maintenance: Analyze sensor data to predict equipment failures and optimize maintenance scheduling
    • Load forecasting: Improve the accuracy of electricity demand forecasts to ensure reliable and cost-effective power generation
  • Develop and present reports on systems and business workflows
  • Develop and foster relationships with universities AI/ML programs
  • Educate end-users on AI/ML tools and how they can be used within the organization and member cooperatives
  • Perform additional activities needed to demonstrate regulatory compliance with NERC CIP security standards.
Qualifications
  • Bachelor’s Degree in quantitative science, engineering, or other STEM field
  • Three to five years prior artificial intelligence/machine learning or data analysis experience
  • Excellent verbal and written communication skills, including ability to effectively communicate with internal and external customers
  • Excellent technology proficiency with a strong commitment to continuous learning
  • Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service
  • Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices
Preferred Experience
  • Any system, network, or cybersecurity related experience or certifications are a plus
  • Experience working with data rich problems in research or professional projects is a plus
  • Graduate degree in data science, computational science, or artificial intelligence is a plus
  • Experience with data analysis tools such as R and Python
Additional Information

All your information will be kept confidential according to EEO guidelines.

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