Perplexity
Senior Machine Learning Engineer - Search(m/w/x)
Full-timeOn-siteSenior
Berlin
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PEPerplexity
Machine Learning Research Engineer(m/w/x)
Berlin
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Designing and training large-scale deep learning models for search quality using PyTorch. Deep understanding of search and retrieval systems required. Work on core search components in a research-focused environment.
Requirements
- Deep understanding of search and retrieval systems
- Understanding of quality evaluation principles and metrics
- Proven track record with large-scale search systems
- Proven track record with large-scale recommender systems
- Strong proficiency with PyTorch
- Experience in distributed training techniques
- Experience in performance optimization for large models
- Expertise in representation learning
- Expertise in contrastive learning
- Expertise in embedding space alignment
- Multilingual applications experience
- Multimodal applications experience
- Strong publication record in AI/ML conferences
- Strong publication record in AI/ML workshops
- Self-driven
- Strong sense of ownership
- Strong sense of execution
- Minimum 3 years working on search research areas
- Minimum 3 years working on recommender systems research areas
- Minimum 3 years working on closely related research areas
- Preferably 5+ years working on search research areas
- Preferably 5+ years working on recommender systems research areas
- Preferably 5+ years working on closely related research areas
Tasks
- Push search quality forward
- Architect core search components
- Build model stack
- Design large-scale deep learning models
- Train models using PyTorch
- Optimize models with distributed training
- Conduct research in representation learning
- Develop contrastive learning models
- Model multilingual and multimodal systems
- Deploy boosting algorithms
- Deploy large language models
- Build RAG pipelines
- Optimize grounding and answer generation
- Collaborate with Data, AI, Infrastructure, and Product teams
Work Experience
- 3 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- NeurIPS
- ICML
- ICLR
- ACL
- CVPR
- SIGIR
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Perplexity and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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PEPerplexity
Machine Learning Research Engineer(m/w/x)
Berlin
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Designing and training large-scale deep learning models for search quality using PyTorch. Deep understanding of search and retrieval systems required. Work on core search components in a research-focused environment.
Requirements
- Deep understanding of search and retrieval systems
- Understanding of quality evaluation principles and metrics
- Proven track record with large-scale search systems
- Proven track record with large-scale recommender systems
- Strong proficiency with PyTorch
- Experience in distributed training techniques
- Experience in performance optimization for large models
- Expertise in representation learning
- Expertise in contrastive learning
- Expertise in embedding space alignment
- Multilingual applications experience
- Multimodal applications experience
- Strong publication record in AI/ML conferences
- Strong publication record in AI/ML workshops
- Self-driven
- Strong sense of ownership
- Strong sense of execution
- Minimum 3 years working on search research areas
- Minimum 3 years working on recommender systems research areas
- Minimum 3 years working on closely related research areas
- Preferably 5+ years working on search research areas
- Preferably 5+ years working on recommender systems research areas
- Preferably 5+ years working on closely related research areas
Tasks
- Push search quality forward
- Architect core search components
- Build model stack
- Design large-scale deep learning models
- Train models using PyTorch
- Optimize models with distributed training
- Conduct research in representation learning
- Develop contrastive learning models
- Model multilingual and multimodal systems
- Deploy boosting algorithms
- Deploy large language models
- Build RAG pipelines
- Optimize grounding and answer generation
- Collaborate with Data, AI, Infrastructure, and Product teams
Work Experience
- 3 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- NeurIPS
- ICML
- ICLR
- ACL
- CVPR
- SIGIR
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Perplexity and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Perplexity
Industry
IT
Description
The company focuses on building advanced search technologies, emphasizing retrieval and ranking.
Not a perfect match?
- Perplexity
Senior Machine Learning Engineer - Search(m/w/x)
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Full-timeOn-siteExperiencedBerlin, München - Prior Labs
ML Engineer, Foundation Model(m/w/x)
Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 120,000 / year - Helsing
AI Research Engineer - Foundation Models(m/w/x)
Full-timeOn-siteExperiencedBerlin, München - Prior Labs
Research Scientist(m/w/x)
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