Join Rakuten Group as an Applied Scientist Intern
Company: Rakuten Group
Location: Various European Locations (France, Spain, UK, Estonia, Germany)
Job Title: Applied Scientist Intern
About Rakuten Group
Founded in 1997, Rakuten Group is a global innovation company based in Japan, operating over 70 diverse businesses including e-commerce, digital content, fintech, and communications. With 32,000 employees worldwide, we serve 1.6 billion members, empowering people and society through innovation and entrepreneurship.
Rakuten Tech in Europe
Rakuten Tech in Europe, part of the Global Innovation Hub, acts as the regional hub for the Technology Division, optimizing and supporting global platforms within the Rakuten Ecosystem. Our team of over 130 members across seven countries and 12 offices includes France (Paris), Spain (Barcelona), UK (Belfast and London), Estonia (Tallinn), and Germany (Berlin). With members from over 20 nationalities, we continuously collaborate on leading technology innovations.
About the Team: Rakuten Institute of Technology (RIT)
The Rakuten Institute of Technology (RIT) is our dedicated Research and Innovation Department focused on Human-Computer Interactions, Computer Vision, Natural Language Processing, and Machine Learning. This unique environment fosters scientific research and innovation, contributing to Rakuten's cutting-edge technology endeavors.
As an Intern, Your Role Includes:
- Conducting comprehensive literature reviews on learning-to-rank (LTR) with multiple objectives.
- Selecting and implementing relevant approaches for multi-objective LTR into our Deep Learning repository.
- Investigating the effectiveness of multi-objective LTR on large-scale Rakuten data.
- Collaborating with the team to analyze and interpret experimental results.
- Extracting meaningful insights to guide the design of new custom ranking models.
- Preparing and submitting a scientific paper summarizing your research and findings.
Candidate Profile
- Enrollment in a Computer Science Master 2 (or equivalent) specializing in Machine Learning or a related field.
- Proficiency in PyTorch for developing machine learning models.
- Familiarity with recommendation systems, deep learning with tabular data, natural language processing (NLProc), and general machine learning techniques.
- Proven experience in implementing ML papers.
- Experience with Git for version control and collaboration.
- Interest in recommender systems and information retrieval.
- Strong mathematical background and problem-solving skills.
- Full proficiency in English, with the ability to work independently and collaboratively.
References
Benefits
- Compensation between 1100 and 1320 euros.
- Restaurant vouchers.
- Part of multicultural teams with more than 20 nationalities.
- Office in the Sentier neighbourhood.
Rakuten Tech in Europe is committed to an inclusive working environment, welcoming all candidates regardless of gender, age, disability, ethnicity, religion, sexual orientation, or social status.
Languages Required: English (Advanced)