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Machine Learning Winter Internship Jobs in Tulsa, OK

Tech Intern 1

Tulsa, OK · On-site

$13.50 - $17.75/hr

Troubleshoot, diagnose, and repair Caterpillar Engines and Machinery. * Utilize hand tools, air ... Maintain a 2.5 GPA or higher during the internship. * Arrange for housing near the school campus ...

Tech Intern 1

Tulsa, OK · On-site

$13.50 - $17.75/hr

Troubleshoot, diagnose, and repair Caterpillar Engines and Machinery. * Utilize hand tools, air ... Maintain a 2.5 GPA or higher during the internship. * Arrange for housing near the school campus ...

Tech Intern 1

Tulsa, OK · On-site

$13.50 - $17.75/hr

Troubleshoot, diagnose, and repair Caterpillar Engines and Machinery. * Utilize hand tools, air ... Maintain a 2.5 GPA or higher during the internship. * Arrange for housing near the school campus ...

... Internship / Co-Op roles) * Knowledge of multi-disciplinary validation equipment and processes ... Ability to work with prototype and machining equipment such as lathes, drills, vertical mills, saws ...

Marine Test Engineer

Tulsa, OK · On-site

$59K - $85K/yr

... Internship / Co-Op roles) * Knowledge of multi-disciplinary validation equipment and processes ... Ability to work with prototype and machining equipment such as lathes, drills, vertical mills, saws ...

Marine Test Engineer

Tulsa, OK · On-site

$59K - $85K/yr

... Internship / Co-Op roles) * Knowledge of multi-disciplinary validation equipment and processes ... Ability to work with prototype and machining equipment such as lathes, drills, vertical mills, saws ...

Showing results 21-26

Machine Learning Winter Internship information

See Tulsa, OK salary details

$23.3K

$38.9K

$80.4K

How much do machine learning winter internship jobs pay per year?

As of Aug 23, 2026, the average yearly pay for machine learning winter internship in Tulsa, OK is $38,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $42,000.00 per year, depending on experience, location, and employer.

What is a machine learning winter internship?

A Machine Learning Winter Internship is a short-term, practical training program typically offered during the winter months for students or early-career professionals interested in machine learning. Interns work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced mentors. The internship provides hands-on experience with tools and techniques used in the field, helping participants build technical skills and gain industry exposure. These positions are often offered by tech companies, research labs, or startups and can be either remote or onsite. Successful completion of a machine learning internship can enhance a candidate's resume and open up further career opportunities in artificial intelligence and data science.

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

During a Machine Learning Winter Internship, you can expect to work on hands-on projects such as data preprocessing, building and evaluating machine learning models, and assisting with research experiments. Interns often contribute to real-world applications, such as developing predictive analytics tools, optimizing algorithms, or supporting deployment efforts. Collaboration is common, as you'll work closely with data scientists, engineers, and sometimes product teams, giving you exposure to the full machine learning workflow. This environment provides an excellent opportunity to apply theoretical knowledge, gain practical experience, and build a professional network in the field.

What are the key skills and qualifications needed to thrive as a machine learning winter intern, and why are they important?

To thrive as a Machine Learning Winter Intern, you generally need a solid foundation in mathematics, programming (especially Python), and a basic understanding of machine learning concepts, often acquired through coursework or relevant projects. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries like Pandas and NumPy is typically required. Strong problem-solving abilities, collaboration, and curiosity help interns stand out in team-based, fast-paced environments. These skills are crucial for effectively contributing to real-world projects and quickly learning from experienced professionals during the internship.

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

AspectMachine Learning Winter InternshipData Science Winter Internship
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of ML frameworksUndergraduate or graduate in Statistics, Math, CS; familiarity with data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsData analysis, visualization, and interpretation in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, consulting

While both internships involve working with data, the Machine Learning Winter Internship emphasizes developing and applying ML algorithms, whereas the Data Science Winter Internship focuses on analyzing data, creating reports, and deriving insights. Candidates should choose based on their specific skills and career goals in AI or data analysis.

What are popular job titles related to Machine Learning Winter Internship jobs in Tulsa, OK?

For Machine Learning Winter Internship jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Machine Learning Winter Internship jobs in Tulsa, OK look for?

The top searched job categories for Machine Learning Winter Internship jobs in Tulsa, OK are:

$13.50 - $17.75/hr

Part-time

Medical, Dental, Vision, Life

Re-posted 13 days ago


Warren CAT rating

8.6

Company rating: 8.6 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

31st of 175 rated vehicle equipment hire


Job description

GROW YOUR CAREER WITH US!

A Technician Intern will work alongside a qualified mentor and participate in a Warren CAT-sponsored program to develop the knowledge and expertise to become a Caterpillar Technician. 

DO YOU HAVE WHAT IT TAKES?

WHAT YOU'LL DO:

Work under the guidance of a Warren CAT Mentor to: 

  • Troubleshoot, diagnose, and repair Caterpillar Engines and Machinery.
  • Utilize hand tools, air tools, precision measuring tools, laptops, diagnostic software, cranes, and rigging equipment.
  • Understand engines, electrical, electronic, hydraulic, mechanical, and pneumatic systems and components.
  • Adhere to service manuals and technical guidelines to ensure repairs meet Caterpillar standards and accurately document all service and repair activities.
  • Perform routine maintenance tasks such as oil changes, lubrication, and filter replacements.
  • Remove and install parts, disassemble and assemble components, and test and adjust assemblies.

WHAT YOU'LL NEED: 

  • Maintain a 2.5 GPA or higher during the internship.
  • Arrange for housing near the school campus and the local Warren CAT location if required.
  • Demonstrate a commitment to ongoing professional development.
  • Successfully complete the Work Steps assessment.

WHY GROW WITH US?

  • We like to take care of business and have fun doing it!
  • If offered a fulltime role, we also offer health, dental, vision, life, and more as a comprehensive benefits package.
  • Tool packages and tuition reimbursement are available with sponsored college programs.
  • Don’t you want to work with awesome people?

IMPORTANT INFORMATION:

While performing the duties of this job, the employee is frequently required to stand; walk; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to sit; climb or balance; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 75 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

The employee is frequently exposed to moving mechanical parts. The employee is occasionally exposed to outside weather conditions.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

The noise level in the work environment is usually moderate.

Required travel up to 5%.   

This position is considered a safety sensitive position.                                                   

The Job description is subject to change by the employer as the needs of the employer and requirements of the job change.

EEO/AA


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