Machine Learning Research Engineer

Vor 6 Tagen

Berlin, Berlin, Deutschland Perplexity Vollzeit 80.000 € - 120.000 € pro Jahr

Perplexity is seeking an experienced Senior Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.

Responsibilities

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

  • Architect and build core components of the search platform and model stack

  • Design, 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 advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval

  • Deploy models — from boosting algorithms to LLMs — in a scalable and performant way

  • Build and optimize RAG pipelines for grounding and answer generation

  • Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery

Qualifications

  • Deep understanding of search and retrieval systems, including quality evaluation principles and metrics

  • Proven track record with large-scale search or recommender systems

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

  • Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications

  • Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR)

  • Self-driven, with a strong sense of ownership and execution

  • Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas

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