Job at Perplexity
Internship - Machine Learning Research Engineer
- Employer
- Perplexity
- Location
- Berlin
- Workplace
- hybrid
- Employment
- full-time
- Department
- Search
- Last published
- First listed on USASI
Apply on Perplexity’s site (external site)View the posting on Perplexity’s job board (external site)
This posting comes from Perplexity’s own Ashby job board. USASI checks that board every day and removes this page once the employer closes the posting. The description below is Perplexity’s text as published; USASI does not edit it, does not recruit, and does not take applications. How jobs are collected.
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).
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