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25 May 2020

Full-timeMaster Thesis in Machine Learning

Turicode – Posted by Turicode Zürich, Zürich, Switzerland

Job Description

turicode is building the next-generation document digitalization platform. We enable
companies to build dedicated learning systems and extract and analyze information from
documents automatically. We are looking for exceptional talents to write their Master thesis
in the field of data extraction from documents using machine learning and deep learning:

Master Thesis in Machine Learning

Responsibilities
• Collect academic papers and research of state-of-the-art algorithms for specific
information extraction tasks related to documents.
• Develop machine learning and deep learning algorithms for image and text extraction
from documents.
• Evaluate machine learning algorithms using statistical methods.
• Make algorithms available for successful deployment into production.
• Present findings and share the work to the team during internal knowledge transfers.

Qualifications
Required
• BS, MS in Computer Science or Mathematics
• Strong programming skills: experience for example with Python, C# and SQL
• Demonstrated knowledge of machine learning applications
• Work permit for Switzerland (citizenship in the EU or an EFTA state).

Preferred
• Interest in functional programming languages (e.g. Haskell, F#, Scala)
• Quick learner with a flair for stable and scalable systems
• Expertise in data structures and algorithms

Bonus
• Experience with Visual Studio and Git
• Communication skills in German

Benefits
• We support you in writing your Master thesis with a top infrastructure and expertise.
• You are not our first Master student; we regularly work with talents.
• Be flexible with working hours and home-office.
• Get first-hand insights into working for top tech startup founded by ETH Alumni

How to Apply

We are looking forward to receiving your CV and cover letter: recruitment@turicode.com turicode AG – Technoparkstrasse 2 – 8406 Winterthur – www.turicode.com

Job Categories: Programming. Job Types: Full-time.

Job expires in 321 days.

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