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# Member of Technical Staff (Machine Learning Research Engineer)

- **Company:** Perplexity
- **Location:** Berlin, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Distributed Computing Environment, Machine Learning, Performance Tuning, Recommender Systems, Pytorch, Large Language Models, Deep Learning, Hardware Acceleration, Machine Learning Operations
- **Published:** September 24, 2026
- **Apply:** https://www.adzuna.de/details/5897180370

## About the Role

* 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

## Description

* 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


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