# Member of Technical Staff (Machine Learning Research Engineer) at Perplexity

- Company: Perplexity
- Role group: Search
- Location: Berlin
- Type: FullTime
- Remote: no
- Posted: 2026-09-23
- Status: active
- Apply: https://jobs.ashbyhq.com/perplexity/1a3df802-9238-4827-ab1f-12a9d1e4b81c?ref=companies-hiring.click

## Description

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
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