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Machine Learning Research Engineer Internship

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Onsite

Machine Learning Research Engineer Internship

Perplexity AI

Machine Learning Research Engineer Internship

Skills

Deep LearningPyTorchMachine LearningAI

2 months ago

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Important information


Contract type:

Internship

Location:

Berlin, Germany

Work mode:

Onsite

Published on:

4 September 2026

What they need


  • Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office
  • 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- Understanding of search and retrieval systems, including quality evaluation principles and metrics
  • Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR)
  • Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation
  • Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models

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