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Machine Learning Research Assistant at experial. Location Information: Germany. 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 Germany’s 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:. 5–10 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:. 15–20 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/h–€20/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 don't 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 isn't relevant, formatting isn't relevant.. But please include a short description of:. Why this fits your experience/ skills — fit to us. What you'd 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.. About the company. experial is a fast-growing AI startup on a mission to revolutionize the way companies use customer insights. Our founders are two market research PhDs and one ex-Aleph Alpha engineer.