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Internship - Machine Learning Research Engineer

Internship - Machine Learning Research Engineer

Perplexity

Full-time · Intern

At a glance on RemoteAI

  • 139 reviewed professionals on RemoteAI match this role at 70% or more.
  • PyTorch: 683 of 3,363 reviewed AI professionals on RemoteAI list it (20%) — the most common skill this role asks for.
  • PyTorch : 683 of 3,363 reviewed AI professionals on RemoteAI list it (20%).
  • RAG: 568 of 3,363 reviewed AI professionals on RemoteAI list it (17%).
  • Machine Learning : 228 of 3,363 reviewed AI professionals on RemoteAI list it (7%).
  • Perplexity has 13 other open roles on RemoteAI.

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About the role

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).

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Job Type

Full-time

Level

Intern

Language

English

Timezone

—

AI Expertise

AI & Machine Learning Engineers

Skills

pytorch pytorch rag machine learning

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