Internship - Machine Learning Research Engineer
$12k - $24k • Remote • Berlin • FullTime
Posted 12d ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Research Engineer
About the job
We are seeking motivated interns to join our Machine Learning Research Engineering team in Berlin for a 12-24 week full-time, in-person program. You will have the opportunity to significantly improve search quality by developing and optimizing large-scale deep learning models. This role involves conducting cutting-edge research in representation learning and building advanced RAG pipelines.
Responsibilities
- Advance search quality through models, data, tools, or other available leverage.
- Train and optimize large-scale deep learning models using frameworks like PyTorch, employing distributed training and hardware acceleration for retrieval and ranking models.
- Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval.
- 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 experience in distributed training techniques and performance optimization for large models.
- Interest in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization, and robust evaluation.
- Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).