Perplexity · Research

Member of Technical Staff (Machine Learning Research Engineer)

Perplexity is hiring for this role, on-site in Berlin. Posted September 23, 2026. You apply on Perplexity's own site.

Apply on Perplexity's siteAll Perplexity jobs
  • Not listedPay range
  • On-siteWork arrangement
  • Full-timeJob type
  • SeniorLevel (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.

Perplexity is seeking an experienced Machine Learning Research 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

Apply on Perplexity's site

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