Dein persönlicher KI-Karriere-Agent
Working Student Software Engineer (Automation & ML)(m/w/x)
Mapping workflows and identifying automation opportunities for materials science innovation. Python programming and practical ML/AI experience required. Working in a 10-person R&D team.
Anforderungen
- Enrolled in bachelor’s program (CS/EE/Math or similar)
- At least one shipped project or substantial system
- Strong programming skills (Python preferred)
- Solid software engineering fundamentals (Git, testing, code reviews)
- Practical ML/AI experience (scikit learn and/or PyTorch or similar)
- Able to move from notebook to usable tool
- Automation and data wrangling experience (Pandas/NumPy, SQL)
- Experience working with REST APIs and CSV/Excel
- Clear, confident English
- Additional EU languages are a plus
- Exposure to networking/telecom, graph algorithms, or optimization (NetworkX, OR Tools)
- Lightweight UI for internal tools (Streamlit/Dash or simple React)
- CLI tooling (Typer/Click)
- Containers for reproducibility (Docker)
Aufgaben
- Map existing workflows
- Identify high-impact automation opportunities
- Prioritize automation tasks
- Build robust data ingestion scripts
- Validate data inputs
- Generate parameters
- Create reports
- Integrate with planning tools
- Connect to data sources via APIs
- Manage lightweight data stores
- Prototype ML models
- Operationalize ML models
- Track ML model metrics
- Measure ML model impact
- Develop accessible interfaces
- Create command-line interfaces
- Build small web dashboards
- Write tests
- Document processes
- Ensure clear handover
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fließend
- Baskisch – Grundkenntnisse
Tools & Technologien
- Python
- Git
- scikit learn
- PyTorch
- Pandas
- NumPy
- SQL
- REST APIs
- CSV
- Excel
- NetworkX
- OR Tools
- Streamlit
- Dash
- React
- Typer
- Click
- Docker
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Working Student Software Engineer (Automation & ML)(m/w/x)
Mapping workflows and identifying automation opportunities for materials science innovation. Python programming and practical ML/AI experience required. Working in a 10-person R&D team.
Anforderungen
- Enrolled in bachelor’s program (CS/EE/Math or similar)
- At least one shipped project or substantial system
- Strong programming skills (Python preferred)
- Solid software engineering fundamentals (Git, testing, code reviews)
- Practical ML/AI experience (scikit learn and/or PyTorch or similar)
- Able to move from notebook to usable tool
- Automation and data wrangling experience (Pandas/NumPy, SQL)
- Experience working with REST APIs and CSV/Excel
- Clear, confident English
- Additional EU languages are a plus
- Exposure to networking/telecom, graph algorithms, or optimization (NetworkX, OR Tools)
- Lightweight UI for internal tools (Streamlit/Dash or simple React)
- CLI tooling (Typer/Click)
- Containers for reproducibility (Docker)
Aufgaben
- Map existing workflows
- Identify high-impact automation opportunities
- Prioritize automation tasks
- Build robust data ingestion scripts
- Validate data inputs
- Generate parameters
- Create reports
- Integrate with planning tools
- Connect to data sources via APIs
- Manage lightweight data stores
- Prototype ML models
- Operationalize ML models
- Track ML model metrics
- Measure ML model impact
- Develop accessible interfaces
- Create command-line interfaces
- Build small web dashboards
- Write tests
- Document processes
- Ensure clear handover
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fließend
- Baskisch – Grundkenntnisse
Tools & Technologien
- Python
- Git
- scikit learn
- PyTorch
- Pandas
- NumPy
- SQL
- REST APIs
- CSV
- Excel
- NetworkX
- OR Tools
- Streamlit
- Dash
- React
- Typer
- Click
- Docker
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Corning
Branche
Science
Beschreibung
The company is one of the world’s leading innovators in glass, ceramic, and materials science, providing optical solutions across the communications industry.
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