Internship - Machine Learning Research Engineer
At a glance
- Salary
- Not published
- Location
- Berlin
- Work type
- Hybrid
- Level
- Intern
- Posted
- 8w ago
- Verified live
- today
- Skills
- RAGPyTorchDeep learning
- Filed under
- RAG / RetrievalCore ML
How the pay compares
This posting doesn't publish pay. 28 of the 112 Intern Core ML roles worldwide on this board do: the middle half pay $102k–$141k, with a median of $133k. Too few roles in Germany publish pay for a local comparison, so this is every country together — mostly US pay.
Middle half of the 28 that publish payMedian10th–90th percentileAnnual, USD
Apply on company site (opens in new tab)
Job description
Internship Program Berlin
Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office.
Responsibilities
- Relentlessly push search quality forward — through models, data, tools, or any other leverage available.
- 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 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.
Qualifications
- 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.
- Interested 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).