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Internship German Machine Learning Jobs in Champaign, IL

Runs x-ray machine and manages related projects. 20. Supports pest control function, when necessary ... Responsible for continuous learning and education. 22. Works in a safe manner and be aware of ...

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Internship German Machine Learning information

See Champaign, IL salary details

$25.5K

$42.6K

$88.1K

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

As of Aug 8, 2026, the average yearly pay for internship german machine learning in Champaign, IL is $42,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,100.00 per year, depending on experience, location, and employer.

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.

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?

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.
What job categories do people searching Internship German Machine Learning jobs in Champaign, IL look for? The top searched job categories for Internship German Machine Learning jobs in Champaign, IL are:
What cities near Champaign, IL are hiring for Internship German Machine Learning jobs? Cities near Champaign, IL with the most Internship German Machine Learning job openings:

EJP Data Stewardship Application

Education Justice Project

Champaign, IL • Hybrid

$32.27/hr

Part-time

Re-posted 11 days ago


Job description

Application Deadline: We will give preference to applications received by Friday August 7, 2026.

Note: This position is for enrolled UIUC students only.


EJP is seeking a dynamic, organized, and results-driven University of Illinois Urbana-Champaign student who is planning to graduate in May 2027 or later to join our Data Stewardship Team. Team members are responsible for creating and maintaining EJP databases and dashboards, as well as supporting other tasks related to recording, managing, and analysing quantitative data connected to our work.
This position is based on campus and does not require prison clearance. All work is conducted virtually.

Position Requirements

  • Advanced proficiency in Tableau, including dashboard design and data visualization best practices
  • Foundational knowledge of machine learning concepts, particularly in developing models to support searchable database systems and data retrieval optimization.
  • Ability to interpret data and translate findings into actionable insights and key performance indicators (KPIs)
  • Experience collecting, cleaning, processing, and filtering datasets from multiple sources
  • Ability to collaborate cross-functionally to understand stakeholder requirements and translate them into reporting solutions
  • Excellent verbal and written communication skills, including the ability to present data clearly to non-technical audiences
  • Commitment to social justice

Preferred Skills

  • Proficiency in SQL for data querying, reporting, and relational database management
  • Experience with Python for data analysis, automation, and data pipeline development
  • Working knowledge of Salesforce reporting, data structures, and CRM analytics
  • Experience with Google Analytics and BigQuery for web data extraction, transformation, and analysis
  • Strong web analytics expertise, including traffic analysis, user behaviour tracking, and conversion monitoring
  • Marketing analytics experience using web-based tools (e.g.,
    Tag Manager, SEO tools, campaign tracking platforms)


Examples of Responsibilities Shared Among Team Members

  • Develop and maintain data visualizations and dashboards based on financial and quantitative datasets
  • Analyse data to generate actionable insights and support data-informed decision-making across EJP
  • Translate analytical findings into clear explanations to help team members better understand program performance and impact
  • Identify opportunities to improve ongoing processes and propose data-driven solutions
  • Summarize data and run reports as needed to support operational and strategic needs
  • Maintain and validate existing (legacy) dashboards to ensure data accuracy and consistency
  • Document data processes, workflows, and reporting structures to support knowledge transfer and continuity
  • Create user guides and training materials for EJP databases and reporting systems
  • Train interns and team members on dashboards and reporting tools

All team members are required to:

  • Attend weekly team meetings, to bescheduled.
  • Strive to become engaged in the EJP community

Team members typically work approximately 15 hours per week, depending on project needs.

It's possible not to work in a given week and to put in extra hours the following week. In other words, the position offers flexibility to accommodate a person's schedule.


Although this is primarily a technical role, all EJP team members are encouraged to engage with the broader EJP community and take advantage of opportunities to learn about issues related to criminal justice and incarceration.

Compensation

Starts at $31.03/hour for Master's students and $32.27/hour for PhD students. This job is especially well suited for a grad student, but undergrads are welcome to apply as well.