Praktikum at fortiss GmbH in München
Online since 2024-07-05
fortiss is the state research institute of the
Free State of Bavaria for the development of
software-intensive systems, based in Munich. The
scientists at the institute work in research,
development and transfer projects with
universities, research institutions and technology
leaders in Bavaria, Germany and Europe. They
research and develop methods, techniques and tools
for reliable, secure and comprehensible software
solutions and artificial intelligence
applications. fortiss is organised in the legal
form of a non-profit limited liability company.
The shareholders are the Free State of Bavaria
(majority shareholder) and the
Fraunhofer-Gesellschaft zur Förderung der
angewandten Forschung e.V. (Fraunhofer Society for
the Promotion of Applied Research).
To strengthen our Machine Learning team, we
are looking for a
Research intern / Forschungspraxis
Large Language Models (LLM) as Text Encoder
(LLM2Vec) (M/W/D)
__________
Who We Are and How We Work:
• We work with e-commerce data analysis and
prediction.
• We exchange ideas on projects and new
tasks in weekly meetings.
• We always keep our common goal in mind and
support each other in achieving it.
• Our cooperation is characterized by flat
hierarchies and teamwork.
• We always have an open ear for new ideas,
and we tackle new challenges together.
• Enthusiasm for scientific work and
research projects invites us to exchange
ideas.
__________
Your Tasks:
• Conduct a comprehensive literature review on
existing techniques for product matching, focusing
on the use of large language models (LLMs) as text
encoders.
• Investigate and evaluate current
methodologies for product description unification
and matching in e-commerce.
• Develop or enhance methods using LLMs for
encoding product descriptions and utilize
techniques such as K-Nearest Neighbours (KNN) to
group products in the latent space.
• Analyse and validate the effectiveness of
the proposed methods through experiments.
__________
Your profile:
• Completion of a bachelor’s degree and current
enrolment in a Master’s degree program in
electrical engineering, computer science,
information systems, or a related field.
• A strong motivation for research, with a
passion for learning and sharing knowledge.
• Solid background knowledge in deep
learning and natural language processing.
• Experience in object-oriented programming.
• Hands-on experience in implementing deep
learning solutions using Python and PyTorch.
• Excellent communication skills in both
spoken and written English.
__________
Our offer:
• 9-week Forschungspraxis under the framework
of TUM EI.
• An international and dynamic work
environment surrounded by highly qualified
colleagues.
• Opportunities to gain experience with the
latest developments in deep learning and numerous
avenues for professional and personal growth.
• Exposure to industry work and research,
providing valuable insights into real-world
applications.
• The chance to publish your work in
academic conferences.
__________
Did we catch your interest?
Then we look forward to receiving your complete application with curriculum vitae, Github link, and current transcript.
Job-ID: ML-FP-04-2024
Contact: Tianming Qiu / Stephan
Rappensperger
Not provided
Not provided
München (Germany)
Deutsch, Englisch
Computer Science
fortiss GmbH
Guerickestraße 25
80805 München, Germany
Tianming Qui / Stephan Rappensperger
personal@fortiss.org
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