Working Student – Machine Learning and Virtual Metrology

GlobalFoundries

. Support the team with data engineering and machine learning tasks .

Posted 10/28/2026full-timeDresden • GermanyEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong capabilities in Python programming for data engineering and analysis, with experience in AWS services and machine learning model development. Proficient in documenting technical solutions and visualizing data effectively.

Highest-signal resume keywords

Python ProgrammingData EngineeringMachine Learning SolutionsAWS Cloud ServicesAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPySparkData AnalysisMachine LearningSQLData VisualizationData ProcessingModel EvaluationDocumentationData Pipelines

Soft Skills

Collaborative TeamworkStrong CommunicationStructured Documentation

Tools & Technologies

AWS S3AWS SageMakerAWS EMR

Certifications & Qualifications

Certificate of Enrollment

Industry Keywords

Semiconductor ManufacturingInline Quality Control

Tech Stack

Tools & technologies

AWSCloudPySparkPythonSQL

About the role

Key responsibilities & impact

Support the team with data engineering and machine learning tasks
Develop and optimize existing Python and PySpark applications for processing large datasets
Contribute to data and analytics workflows in AWS
Support the implementation and deployment of machine learning solutions
Further develop and evaluate machine learning models for practical use cases
Prepare and visualize data, models, and results
Create structured documentation of developed solutions and results
Contribute to Manufacturing Inline Control by supporting inline quality control in semiconductor manufacturing

Requirements

What you’ll need

Currently enrolled in a degree program in Computer Science, Physics, Engineering, Data Science, or a comparable technical field
Very strong Python programming skills, particularly in data engineering and data analysis
Initial experience with PySpark is a plus
Knowledge of AWS cloud services, such as S3, SageMaker, or EMR, as well as data or machine learning pipelines is an advantage
Knowledge of databases and SQL is desirable
Knowledge of semiconductor manufacturing or the semiconductor industry is an advantage
Strong analytical and problem-solving skills
Enjoy working collaboratively as part of a team
Ability to document technical content and results in a structured manner and visualize them clearly
Very good written and spoken English skills
Available to start immediately and commit for at least six months
Up to 20 hours per week during the academic term; up to 40 hours per week during semester breaks
A current certificate of enrollment must be included with the application

Benefits

Comp & perks

Flexible working hours
After successful onboarding and depending on the role, the opportunity to work remotely
Work in an open and dynamic team
Opportunity to apply your theoretical knowledge in practice in the fields of machine learning and data engineering
Attractive compensation
On-site cafeteria, fitness center, and physiotherapy services
Access to a range of professional development opportunities
Additional attractive benefits, including health and wellness programs and various employee discounts