Search Machine Learning Research Engineer (Berlin)

TL;DR

Search Machine Learning Research Engineer (AI): Building the next generation of advanced search technologies with an accent on retrieval and ranking. Focus on designing, training, and optimizing large-scale deep learning models, leveraging distributed training, and deploying LLMs and RAG pipelines scalably and performantly.

Location: Berlin

Company

hirify.global is building the next generation of advanced search technologies, focusing on retrieval and ranking.

What you will do

• Relentlessly push search quality forward through models, data, and tools.
• 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.
• Conduct advanced research in representation learning, including contrastive, 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.

Requirements

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