Job
- Level
- Junior
- Location
- Karlsruhe
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
Job Summary
In this role, you support the team in developing caching mechanisms for small language models, contribute to cache prediction model training, and configure machine learning environments in the cloud.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- You are currently studying Computer Science, Business Informatics, or a comparable degree program.
Qualifications
- 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.
Experience
- You already have experience in software development with Python.
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What we offer
- To ensure that there is still enough free time in addition to studying and working, you will receive a pro-rated 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.
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Benefits
Work-Life-Integration
- 🏠Home Office
- 🚌Excellent Traffic Connections
- ⏸Educational Leave/Sabbatical
- ⏰Flexible Working Hours
- 🏝Extra Holidays
Higher Take-Home Pay
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Mercedes-Benz Tech Innovation GmbH
Berlin
We started out in 1998 as a small but ambitious development team. Today, we are a successful IT company and a reliable strategic business partner of Daimler AG. We help our customers overcome the challenges of the future by offering them tailored comprehensive solutions. Our continuous growth has allowed us to become a company that is sympathetic to its employees and provides them with ample opportunity for individual development.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)Workingconditions
4.4Culture
3.5Career Growth
3.4Engineering
2.8
Working Student AI Research Engineer for SLM Optimization
- Location
- Karlsruhe
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
