Machine Learning Research Assistant (Student Role or Minijob)

At experial we are building the future of customer insights: fast intelligent and always available. By creating digital twins of real customers we enable companies to instantly gather feedback on any question - without waiting days or weeks for interviews or surveys. Our clients include some of Germanys largest B2C brands in finance and retail. Backed by top-tier VCs and AI experts we are moving fast - and we want you to grow with us.

We are currently looking for student research assistants (flexible Minijob or HiWi) to support our machine learning team in experimentation and development in the areas of multi-agent ML/AI evaluation MLOps and optimization - with a strong focus on language and multi-modal models.

Tasks

Your Role
You will work closely with our ML team and co-founders on hands-on research prototyping and development in one or more of the following areas:

• Developing testing and improving evaluation methods for multi-agent systems
• Running research experiments analyzing failure cases and testing improvements for ML and agentic components
• Investigating model weaknesses capabilities attack modes and robustness
• Translating ML components into production-ready product features

Work Mode

• Fully remote
• Option 1: 510 hours/week as a remote mini-job (tax-free) - ideal for gaining relevant industry experience alongside a university role especially to complement academic work with real-world lab and product exposure
• Option 2: 1520 hours/week as a HiWi / working student - schedule adapted to your university and job commitments
• adjusted to your university and job schedules
• co-supervision of a master thesis if the subject aligns with the work - get payed for your MSc thesis

Requirements

Minimum Requirements

• python skills (especially OOP LLMs)
• Experience training or evaluating deep learning models PyTorch
• Familiarity with transformer-based architectures in NLP or CV
• Comfort with CLI git SSH and command line workflows
• Ability to communicate results clearly in English (spoken and written) German is a plus for analysis
• A current BSc MSc PhD student enrolment at a German university or FH

Bonus Points

• 2 years of experience in ML-based (uni) projects/ implementations
• Skills in pandas plotly numpy agentic frameworks
• Experience with pretraining or fine-tuning or RL for LLM/ SLM/ VLM
• Experience with shared GPU environments (e.g. via slurm AWS serverless)
• Familiarity with evaluation tracking tools like MLFlow/ WandB

Benefits

What we offer

• fully remote work
• Supportive and efficient environment with startup energy
• Teaching highly relevant AI/ ML skills for CV building to prepare for the job market
• Depending on performance possibility to join the team after finished degree
• Mentorship from experienced AI engineers and product leads
• Compensation:
• as Main job: As HiWi/ working student: 15/h20/h depending on experience for up to 20h/week or
• as side job: Tax free side job for experience/ CV: Minijob 556/month for 5-10h/ week depending on experience and time (approx. 14/h - 28/h)
• Early co-authorship opportunities if we publish research together
• Access to GPU infrastructure

What are the next steps:

If you are passionate about engineering and ready to co-create impactful AI solutions then dont hesitate to reach out! We are looking for a good fit not a perfect fit.

Apply now with

• a clean CV (focus/ highlight on relevant skills and ML experience) you can include courses projects and links
• a short letter of motivation (simple .txt is fine) AI generated is ok (but we will ask about the details later) speech recorded is ok spelling isnt relevant formatting isnt relevant.

But please include a short description of:

• Why this fits your experience/ skills fit to us
• What youd like to learn from and with us fit to your plans
• Any relevant projects (with code links if possible) examples go a long way

Join our team and learn how to carry AI and ML from idea to implementation to product.