Perplexity · Research

Internship - Machine Learning Research Engineer

Perplexity is hiring for this role, remote in Berlin. Posted September 2, 2026. You apply on Perplexity's own site.

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  • Not listedPay range
  • RemoteWork arrangement
  • InternshipJob type
  • InternshipLevel (from the title)

How the pay compares

Perplexity doesn't publish a US-dollar range for this role. Across 75 open AI Research Engineer postings that do, the median is $370K and the middle half pay $313K–$600K.

AI Research Engineer salary data

About the job

From Perplexity's job posting. Check the original for the latest details before applying.

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).

Apply on Perplexity's site

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