# Internship - Machine Learning Research Engineer at Perplexity

- Company: Perplexity
- Status: Open
- Workplace: Hybrid
- Location: Berlin · Remote
- Level: Junior
- Discipline: AI & ML
- Employment: Full-time
- Posted: 2026-09-02
- Skills: PyTorch, DeepSpeed, FSDP
- Apply: https://jobs.ashbyhq.com/perplexity/b9e1ff15-d52a-46d5-abf0-26460f2a116c

## Description

Internship Program Berlin

Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office.

Responsibilities

 - Relentlessly push search quality forward — through models, data, tools, or any other leverage available.

 - Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models.

 - Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval.

 - Build and optimize RAG pipelines for grounding and answer generation.

Qualifications

 - Understanding of search and retrieval systems, including quality evaluation principles and metrics.

 - Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models.

 - Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation.

 - Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).

More Perplexity roles: https://deviantjobs.com/companies/perplexity