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Senior Machine Learning Engineer - Search(m/w/x)
Building core components for retrieval and ranking systems, optimizing RAG pipelines at an ML technology firm. Proven track record with large-scale search/recsys, 5+ years project experience required. High autonomy in project execution.
Requirements
- Deep understanding of search and retrieval systems
- Proven track record with large-scale search or recommender systems
- Self-driven with strong ownership and execution
- Minimum of 5 years working on search or recsys-related projects
Tasks
- Push search quality forward using models, data, and tools
- Architect and build core components of the search platform
- Train and evaluate retrieval, ranking, and classification models
- Deploy models in a scalable and efficient manner
- Build and optimize RAG pipelines for grounding and answer generation
- Collaborate with Data, AI, Infrastructure, and Product teams for timely delivery
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Benefits
Healthcare & Fitness
- Comprehensive health insurance
- Dental insurance
- Vision insurance
Retirement Plans
- 401(k) plan
Not a perfect match?
- PerplexityFull-timeOn-siteExperiencedBerlin
- Cresta
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Senior Machine Learning Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin
Senior Machine Learning Engineer - Search(m/w/x)
Building core components for retrieval and ranking systems, optimizing RAG pipelines at an ML technology firm. Proven track record with large-scale search/recsys, 5+ years project experience required. High autonomy in project execution.
Requirements
- Deep understanding of search and retrieval systems
- Proven track record with large-scale search or recommender systems
- Self-driven with strong ownership and execution
- Minimum of 5 years working on search or recsys-related projects
Tasks
- Push search quality forward using models, data, and tools
- Architect and build core components of the search platform
- Train and evaluate retrieval, ranking, and classification models
- Deploy models in a scalable and efficient manner
- Build and optimize RAG pipelines for grounding and answer generation
- Collaborate with Data, AI, Infrastructure, and Product teams for timely delivery
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Benefits
Healthcare & Fitness
- Comprehensive health insurance
- Dental insurance
- Vision insurance
Retirement Plans
- 401(k) plan
About the Company
Perplexity
Industry
IT
Description
The company focuses on building advanced search technologies, emphasizing retrieval and ranking.
Not a perfect match?
- Perplexity
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