Support teaching in our machine learning courses based on your skills, preferences, and our current needs. An overview of the modules and seminars that we offer is available at https://web.ml.tu-berlin.de/teaching/courses/.
General tasks to be carried out under guided supervision:

• 35 %: Assist in the preparation and follow-up of exams or homework assignments (e.g., participation in exam reviews, correction of homework).
• 35 %: Arrangement of office hours as well as tutorials for the courses available under the link above; communicate with students digitally and in person
• 30 %: Misc: Assist with logistical tasks, such as helping with carrying out exam days and assisting in programming and utilizing digital course infrastructure (e.g., for student databases and digital exams); contribute to improving course content and structure (e.g., based on advancements in the respective field)
  What You Can Expect:
• A shared desk in modern, well-equipped offices in the MAR building (near Ernst-Reuter Platz)
• Flexible working hours with the option for remote work after prior arrangement
• A friendly, inclusive, and diverse international work environment
• Opportunities to develop your skills by working on foundational courses and gaining a deeper understanding of core concepts

Must:

• Excellent knowledge of machine learning and programming (e.g., Python or C++)
• Proficiency in written and spoken English
• Enrollment at a German university
  Can:
• Effective communication and strong collaboration skills
• If interested in direct student contact: empathy and didactic skills, good presentation abilities
  You may specify the courses you want to support in your application, this is not mandatory though. You do not need to have already taken these courses, but you cannot take them in the future, once you have worked on them as a tutor. You may support a Master’s course as a Bachelor’s student if your skills align.

Please send your application in English to sekr@ml.tu-berlin.de. Documents to include:

• One-page PDF cover letter outlining your preferences and relevant skills
• One-page PDF resume focusing on relevant qualifications
• Consolidate additional documents (e.g., transcripts) into a single PDF

Party responsible for specialist area / point of contact for job posting: Y. Mai-Linde
Period of employment: immediately for 2 years
Apply to: sekr@ml.tu-berlin.de

Applications can be submitted at any time up to the application deadline.

Please submit your written application including cover letter, your CV, certificate of enrollment, and where applicable, current transcript of records, with the reference number to the place of employment indicated above.
In the interest of promoting equality opportunities for men and women, applications from women with suitable qualifications are particularly encouraged.