Requisition Number: 72430

The company built on breakthroughs.
Join us.

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

Do you get a thrill from making a boring Excel workflow disappear behind a single command? Want to ship ML powered tools that real engineers use—cutting hours on internal processes and boosting accuracy? If you’re a Bachelor’s level SWE who loves turning experiments into usable products, this role is for you.

Join our Systems Engineering & Innovation team to automate manual, time consuming workflows, build internal tools and services, apply ML/AI where it adds clear value, and deliver measurable improvements in speed and quality.

What you’ll do

• Map existing workflows; identify and prioritize high impact automation opportunities.

• Build robust scripts/services for data ingestion, validation, parameter generation, and reporting.

• Integrate with planning tools and data sources via APIs and common formats (CSV/Excel); manage lightweight data stores as needed.

• Prototype and operationalize ML models (e.g., classification, recommendations, anomaly detection, optimization heuristics); track metrics and impact.

• Deliver accessible interfaces (CLI or small web dashboards), with tests, docs, and clear handover.

Must have qualifications

• Enrolled in a bachelor’s program (CS/EE/Math or similar) with at least one shipped project or substantial system.

• Strong programming skills (Python preferred) and 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 a usable tool.

• Automation and data wrangling experience (Pandas/NumPy, SQL), working with REST APIs and CSV/Excel.

• Clear, confident English; additional EU languages are a plus.

Nice to have

• Exposure to networking/telecom, graph algorithms, or optimization (NetworkX, OR Tools).

• Lightweight UI for internal tools (Streamlit/Dash or simple React) and CLI tooling (Typer/Click).

• Containers for reproducibility (Docker). Cloud experience is not required.

Location and work mode

• Berlin, Germany. Hybrid: ~60% in-office, 40% remote.

• Core collaboration in CET with overlap to Gulf Standard Time; occasional meetings with US East Coast.

Hours and duration

• 15–20 hours per week.

• 12 months, with potential extension based on business needs and achievements.

Compensation

• Competitive pay per company policy.