TL;DR
Internship - Machine Learning Research Engineer (AI): Pushing search quality through models, data, and tools, with an accent on training and optimizing large-scale deep learning models for retrieval and ranking. Focus on conducting research in representation learning and building optimized RAG pipelines for answer generation.
Location: Hybrid, requires in-person presence in the Berlin office
Company
hirify.global is a company focused on advancing search quality through cutting-edge machine learning research and development.
What you will do
- Push search quality forward through models, data, and tools.
- Train and optimize large-scale deep learning models using PyTorch for retrieval and ranking.
- Conduct research in representation learning, including contrastive, multilingual, and multimodal modeling.
- Build and optimize RAG pipelines for grounding and answer generation.
Requirements
- Understanding of search and retrieval systems, including quality evaluation principles and metrics.
- Strong proficiency with PyTorch, including distributed training techniques and performance optimization for large models.
- Interest in representation learning, including contrastive learning and cross-lingual representation alignment.
- Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).
- Ability to work full-time, in-person in the Berlin office for 12-24 weeks.
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