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Internship German Machine Learning Jobs in Park Ridge, IL

Quantitative Research Intern

Chicago, IL · On-site

$250K - $300K/yr

Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to ... internship * Meaningful projects: Each project, advised by a trader, promotes a comprehensive ...

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Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ... A highly-competitive internship compensation package * Optiver-covered flights, living ...

... to power trading with machine learning and other algorithms on a global scale. This is an ... Previous internship experience in hardware or low-level software engineering * Experience with C, C ...

... to power trading with machine learning and other algorithms on a global scale. This is an ... Previous internship experience in hardware or low-level software engineering * Experience with C, C ...

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Internship German Machine Learning information

See Park Ridge, IL salary details

$25.1K

$41.9K

$86.6K

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

As of Jul 15, 2026, the average yearly pay for internship german machine learning in Park Ridge, IL is $41,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Jobs that require complex human skills such as machine learning engineers, data scientists, and cybersecurity specialists are likely to persist as AI automates routine tasks. These roles demand critical thinking, creativity, and specialized knowledge that are difficult for AI to replicate fully. Continuous learning and expertise in AI tools can enhance job security in these fields.

What is an Internship German Machine Learning?

An Internship German Machine Learning is a temporary training position typically offered by companies or research institutions in Germany, focusing on practical experience in machine learning. Interns work on real-world projects involving data analysis, algorithm development, and model implementation under supervision. These internships help students or recent graduates gain hands-on skills, industry exposure, and networking opportunities in the rapidly growing field of artificial intelligence and machine learning.

What is the difference between Internship German Machine Learning vs Data Scientist German?

AspectInternship German Machine LearningData Scientist German
Required CredentialsBasic programming, coursework in MLAdvanced degree in data science, statistics, or related
Work EnvironmentInternship setting, learning-focusedFull-time, project-driven
Industry UsageEntry-level roles, training programsProfessional roles, decision-making

Internship German Machine Learning positions are typically entry-level, focusing on learning and skill development, often requiring basic programming and coursework. Data Scientist German roles are more advanced, requiring higher education and experience, with responsibilities in analyzing data and building models. The internship provides a stepping stone into the data science field, while the data scientist role involves applying expertise to solve complex problems.

Can foreigners intern in Germany?

Foreigners can intern in Germany if they meet visa and work authorization requirements, which vary depending on their nationality and the internship duration. Internships often require a valid visa or residence permit, especially for non-EU/EEA citizens, and may need to comply with labor laws and internship regulations. It is important to check specific visa conditions and employer sponsorship options before applying.

How much do ML interns get paid?

Machine Learning interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Paid internships often include opportunities to work with tools like Python, TensorFlow, or PyTorch and may be full-time or part-time during the summer or semester.

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

As a German Machine Learning intern, you'll typically assist with real-world projects such as developing and testing machine learning models, preprocessing datasets, and supporting the implementation of AI solutions in both German and international contexts. You may also help with data analysis, model evaluation, and documentation, often collaborating with data scientists and engineers. These projects provide hands-on experience with industry-standard tools and workflows, helping you build practical skills and a strong professional network.

What are the key skills and qualifications needed to thrive as an Internship German Machine Learning, and why are they important?

To thrive as an Internship German Machine Learning, you need a solid understanding of machine learning concepts, programming skills in Python, and progress toward a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries, as well as experience using version control systems like Git, is typically required. Strong analytical thinking, problem-solving ability, and effective communication—especially in both English and German—help you collaborate within diverse teams. These skills and qualifications are essential for successfully contributing to machine learning projects and adapting to the fast-evolving tech industry.

Is AI in demand?

AI skills are highly in demand for machine learning internships, including roles focused on developing and applying artificial intelligence technologies. Companies seek candidates with knowledge of programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and understanding of data analysis. The AI industry continues to grow, creating numerous opportunities for interns with relevant skills and training.
What are popular job titles related to Internship German Machine Learning jobs in Park Ridge, IL? For Internship German Machine Learning jobs in Park Ridge, IL, the most frequently searched job titles are:
What job categories do people searching Internship German Machine Learning jobs in Park Ridge, IL look for? The top searched job categories for Internship German Machine Learning jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Internship German Machine Learning jobs? Cities near Park Ridge, IL with the most Internship German Machine Learning job openings:
Business Systems Administration Internship

Business Systems Administration Internship

Argonne National Laboratory

Lemont, IL • On-site

$18.08 - $39.17/hr

Full-time

Re-posted yesterday


Job description

Focus of the Business Systems Administration internship is to develop skills and apply knowledge to advance system maintenance and implementation initiatives in the Financial Management and Procurement Services (FMPS) division. Business Systems Administration internship will analyze business processes, identify inefficiencies, assess information requirements, and create powerful business solutions using technology.
  • Learn and practice skills in supporting a financial management and procurement services team with improvements in service quality to achieve best-in-class standards.
  • Use various software solutions to aggregate and analyze data to aid the organization in better decision-making to achieve optimized operations.
  • Use accounting, finance, supply chain, and statistics education to collect, analyze, model, and interpret data.
  • Deliver effective communication with division staff and leadership.
  • Learn from experience staff on data mining from ERP/business systems such as Workday.
  • Work within a team that fosters transparency and collaboration.

Education and Experience Requirements
  • Must be a U.S. citizen.
  • Must be currently enrolled full-time at an accredited institution and have completed at least one semester of schooling by the start of the program.
  • Must be 18 years or older at the time the appointment begins.
  • If accepting an offer, must pass a screening drug test.
  • Majors: Management Information Systems, Finance, Mathematics, Statistics, Industrial Engineering, Business Analytics
  • Departments: Business Systems and Transformation, Financial Management, and Budget.
  • Completed at least two years of undergraduate academics in business logistics analytics, computer science, industrial engineering, mathematics, statistics or similar program and maintain a cumulative GPA of 3.0 on 4.0 scale.
  • A desire to participate in a dynamic work environment with competing deadlines.
  • Ability to be a highly motivated and self-starting and seeking a future career in a business profession.
  • Desire to learn about modernizing business disciplines of accounting, business administration, economics, finance, etc. through integration with data analysis, Artificial Intelligence, Machine Learning, and Data Visualization.
  • Ability to negotiate between large scale project goals and individual work assignments
  • Ability to assist in difficult situations and keep composure and confidence.
  • Experience with Microsoft Office Products (Word, Outlook, Excel) required,
  • Knowledge of and experience with Power BI, Tableau, "R" programming preferred
  • Great aptitude for math and processing logic.
  • Excellent written and oral communication skills.

Job Family
Undergraduate Student Employment
Job Profile
Professional Career Internship - Sophomore
Worker Type
Employee
Time Type
Full time
Scheduled Weekly Hours
40
Pay Rate Type
Hourly
The expected hiring range for this position is $18.08 - $39.17.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
EEO Information
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers for appointments in the student employment category are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.