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Working student AI Research Engineer for SLM Optimization (m/f/d/x)
Tasks

Your tasks?

 

  • 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.
Qualifications

Your profile?

 

Ready to get started? 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.

 

A quick tip: With the large number of top applications we receive, a complete application is your ticket to the game. Unfortunately, we cannot proceed with your application without the complete package. No exceptions!

 

  • You are currently studying Computer Science, Business Informatics, or a comparable degree program.
  • You already have experience in software development with Python.
  • 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.
Benefits
Hybrid Work Possible
Mobile Phone for Employees Possible
Health Benefits
Discounts for Employees Possible
Events for Employees
Meal-Discounts
Lifelong Learning
Mobility Offers
Annual Profit Share Possible
Coaching
Company Retirement
Flextime Possible
Good Public Transport
Canteen, Café
Parking
Barrier-Free Workplace
ContactMercedes-Benz Tech Innovation GmbH LogoMercedes-Benz Tech Innovation GmbH
Albert-Nestler-Str. 1176131 KarlsruheDetails to location
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