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Working Student AI Research Engineer for SLM Optimization

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Job

  • Level
    Junior
  • Ort
    Karlsruhe
  • Arbeitsmodell
    Hybrid, Onsite
  • Job Feld
    Data
  • Anstellung
    Teilzeit
  • Vertragsart
    Praktikum / Schulpraktikum

Job Zusammenfassung

In dieser Position unterstützt du das Team bei der Entwicklung von Caching-Mechanismen für kleine Sprachmodelle, trainierst Modelle zur Cache-Vorhersage und konfigurierst Machine Learning-Umgebungen in der Cloud.

Job Technologien

Deine Rolle im Team

  • As a Working Student AI Research Engineer for SLM Optimization (m/f/d/x), you will support the team in developing, refining, and managing caching mechanisms for Small Language Models (SLMs).
  • You will contribute to the training and further development of models for cache prediction.
  • You will also support the configuration and management of machine learning environments in the cloud.
  • You will work on the design and exploratory analysis of new caching strategies while contributing your own ideas.
  • You will support the selection, development, and integration of the latest technologies as part of innovative research projects.
  • In addition, you will collaborate with experienced developers from various disciplines in an agile product development team.

Unsere Erwartungen an dich

Ausbildung

  • You are currently studying Computer Science, Business Informatics, or a comparable degree program.

Qualifikationen

  • If you impress us with proven excellent German and English skills and submit your complete application documents (cover letter, CV, transcript of records, certificate of enrollment and, if applicable, residence permit/work permit), you are just one click away from your opportunity.
  • You have knowledge of deep learning and are familiar with the architecture and functionality of transformer models.
  • You are highly motivated, work in a structured manner, and enjoy exploring new technologies and topics.
  • Excellent self-organization skills and the ability to independently familiarize yourself with new topics complete your profile.

Erfahrung

  • You already have experience in software development with Python.

Unser Angebot

  • To ensure that there is still enough free time in addition to studying and working, you will receive a pro rata 30 vacation days with us as well as the opportunity to plan your working hours flexibly.
  • In coordination with your team and your contact person, you also have the opportunity to work remotely.
  • In addition, almost all of our positions are suitable for part-time work.
  • You accompany innovative projects at the cutting edge and take on responsible tasks, so you are a full-fledged member of our team right from the start.
  • Of course, you benefit from an attractive salary.
  • At Mercedes-Benz Tech Innovation, we are a team! Our cooperation is based on mutual trust and respect.
  • Flat hierarchies, an appreciative atmosphere, openness and open-mindedness are part of our daily work.
  • In order for your start with us to succeed, you will receive an individual onboarding and a direct contact person.

Benefits

Work-Life-Integration

Mehr Netto

Gesundheit, Fitness & Fun

Essen & Trinken

Themen mit denen du dich im Job beschäftigst

Job Standorte

  • Standort Karlsruhe

    Baden-Württemberg

    Deutschland

Das ist dein Arbeitgeber

Mercedes-Benz Tech Innovation GmbH

Mercedes-Benz Tech Innovation GmbH

Berlin

Wir sind die IT-Spezialisten der Daimler AG und kümmern uns um zukunftsweisende Gesamtlösungen. 1998 als kleines Team gestartet, sind wir heute ein sympathisches Unternehmen im permanenten Wachstum.

Description

  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Internet, IT, Telekom

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Gesamt

(1 Bewertung)
3.5
  • Workingconditions

    4.4
  • Culture

    3.5
  • Career Growth

    3.4
  • Engineering

    2.8
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Logo Mercedes-Benz Tech Innovation GmbH

Working Student AI Research Engineer for SLM Optimization

Ort
Karlsruhe
Arbeitsmodell
Hybrid, Onsite
Diversität
Für alle Personen geeignet (m/w/d)

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