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Machine Learning Research Engineer - Search(m/w/x)
Description
In this role, you will be at the forefront of developing advanced search technologies, focusing on optimizing deep learning models and enhancing search quality through collaboration with various teams.
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Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Deep understanding of search and retrieval systems
- •Proven track record with large-scale search or recommender systems
- •Strong proficiency with PyTorch
- •Expertise in representation learning
- •Strong publication record in AI/ML conferences or workshops
- •Self-driven with a strong sense of ownership
- •Minimum of 3 years working on search or recommender systems
Work Experience
3 years
Tasks
- •Push search quality forward
- •Architect and build core components of the search platform
- •Design, train, and optimize large-scale deep learning models
- •Leverage frameworks like PyTorch for distributed training
- •Conduct advanced research in representation learning
- •Deploy models in a scalable and performant way
- •Build and optimize RAG pipelines for grounding and answer generation
- •Collaborate with Data, AI, Infrastructure, and Product teams
Tools & Technologies
Languages
English – Business Fluent
- PerplexityFull-timeOn-siteSeniorBerlin
- Prior Labs
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Search Rust Engineer(m/w/x)
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AI Research Engineer - Foundation Models(m/w/x)
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Machine Learning Research Engineer - Search(m/w/x)
The AI Job Search Engine
Description
In this role, you will be at the forefront of developing advanced search technologies, focusing on optimizing deep learning models and enhancing search quality through collaboration with various teams.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Deep understanding of search and retrieval systems
- •Proven track record with large-scale search or recommender systems
- •Strong proficiency with PyTorch
- •Expertise in representation learning
- •Strong publication record in AI/ML conferences or workshops
- •Self-driven with a strong sense of ownership
- •Minimum of 3 years working on search or recommender systems
Work Experience
3 years
Tasks
- •Push search quality forward
- •Architect and build core components of the search platform
- •Design, train, and optimize large-scale deep learning models
- •Leverage frameworks like PyTorch for distributed training
- •Conduct advanced research in representation learning
- •Deploy models in a scalable and performant way
- •Build and optimize RAG pipelines for grounding and answer generation
- •Collaborate with Data, AI, Infrastructure, and Product teams
Tools & Technologies
Languages
English – Business Fluent
About the Company
Perplexity
Industry
IT
Description
The company focuses on building advanced search technologies, emphasizing retrieval and ranking.
- Perplexity
Senior Machine Learning Engineer - Search(m/w/x)
Full-timeOn-siteSeniorBerlin - Prior Labs
ML Engineer, Foundation Model(m/w/x)
Full-timeOn-siteExperiencedfrom 120,000 / yearBerlin, Freiburg im Breisgau - NVIDIA
Senior Deep Learning Compiler Engineer - PyTorch(m/w/x)
Full-timeOn-siteSeniorBerlin - Perplexity AI
Search Rust Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlin - Helsing
AI Research Engineer - Foundation Models(m/w/x)
Full-timeOn-siteExperiencedBerlin, München