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Interdisciplinary Project (TUM) - Various

Intern / Student · München

About us
metris.io is the business research platform of the future. Through large-scale web mining and information extraction, we aim to provide real-time access to information on companies, products, people and innovations in the business world. By making this data accessible, we allow analysts, strategists and other professionals make better decisions. 
Your tasks
Possible topics:
  • Scalable, continuous web crawling of news and company websites. Monitor thousands of pages continuously, develop and deploy crawler infrastructure for incremental crawling.#Python #Scrapy (+ #Kafka #RabbitMQ #Redis)
  • Real-time knowledge base construction. Apply bleeding edge NLP techniques to support the development of our entity linking pipeline. #Python #NumPy #SciKitLearn (+ #NLP #SpaCy)
  • Web app development: UI design, data visualization and/or server development. Shape the way our web-app looks and feels from the start, create intuitive data interactions. #WebDev #React #NodeJS (+#UX #Dataviz)

What we offer
  • You become part of a fast-paced startup and work at the interface between customers and the founders
  • Steep learning curve with well defined work packages
  • Focus on mentorship, connections and experience
  • Responsibility in key business area
  • Freedom to implement your own ideas
Additional Information
  • The project will have one supervisor from metris.io and one from TUM
  • You can work part-time (6 months) or full-time (3 months), from home or our office
  • We will have weekly in-person check-ins on the project’s progress
  • Team applications (2-4 students) are encouraged
  • You can start from May

Your application

Please fill out the following form. In case you are experiencing problems with the document upload, mail your documents to apply@metris.io.

Send us relevant documents, this certainly includes the resume, but may also include all transcripts, references, a portfolio or other relevant files.
In order to upload multiple files, please select them in one go by using the CTRL key on Windows or the CMD key on Mac.