Internship - Evaluation of Retrieval-Augmented Generation Systems (Zurich)
Zürichonsitejunior
Posted 3w ago · via Workable
About this role
Fixed-term contract (typically 3 months) · 80–100% · Zürich · Students (Bachelor, Master or PhD level) «Making sense of data is the winning competence in all industries.» We build D ONE with the belief that every company will be a data company. Since our beginnings, we help our clients to make sense of their data and generate value. In this internship you will work independently on a topic in the area of evaluating generative AI systems. You will turn fuzzy questions about quality into measurements that people trust, and make those measurements repeatable. Your tasks will include: Reviewing evaluation methodology for retrieval-augmented and generative systems. Designing and implementing automated evaluation logic in Python.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, spark, pandas, git
2
Level fit
This role is junior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Zürich. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlsparkpandasgit
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