Perplexity Machine Learning Research Intern Berlin
Apply by 30 Dec 2026
Key Facts
| Role | Internship - Machine Learning Research Engineer |
|---|---|
| Company | Perplexity |
| Location(s) | Berlin, Germany |
| Term | 12–24 weeks, full-time, in person |
| Deadline | Rolling — no firm deadline listed (apply early) |
| Pay / stipend | See official posting |
Overview
Perplexity’s Berlin internship is 12–24 weeks, full-time, and in the office. The work is search quality: training and optimizing large retrieval and ranking models, representation learning, and RAG pipelines.
They want real PyTorch skill, including distributed training such as DeepSpeed or FSDP, and an understanding of how search quality is measured.
Eligibility / Key Requirements
- Understanding of search and retrieval evaluation
- Strong PyTorch, including distributed training
- Interest in retrieval, ranking, and RAG
- Able to work full-time and in person in Berlin for 12–24 weeks
- Comfort pushing search quality through models, data, or tooling
How to Apply
- Open the official application from EduBard’s Apply button for this role.
- Create or sign in to your employer careers account.
- Submit your resume and any required materials before the deadline.
Compiled from the official posting; verify details on the employer site before applying.
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