Perplexity
Data Scientist, Evals(m/w/x)
Full-timeOn-siteExperienced
Berlin
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PEPerplexity
Software Engineer - Data Flywheel(m/w/x)
Berlin
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Building data pipelines for autonomous search evaluation and ranking systems. Big data systems, data modeling, and AWS lakehouse experience essential. Focus on complex retrieval and ranking challenges.
Requirements
- 3+ years software engineering experience
- Strong Python and SQL proficiency
- Experience with big data systems
- Solid data modeling and system design
- Experience with AWS and lakehouse ecosystems
- Comfort with AI-assisted development tools
- Data engineering and warehousing background
- Familiarity with LLM/VLM interfaces
- Experience with machine learning infrastructure
- Experience supporting customer-facing products
Tasks
- Build systems and pipelines for independent data access
- Enable teams to utilize reliable evaluation verdicts
- Own the autonomous evals-to-product data loop
- Transform raw signals into durable decision-making datasets
- Develop robust simulator pipelines for user interactions
- Format product data for LLM and VLM legibility
- Implement data monitoring, lineage, and quality checks
- Maintain high-impact systems that shape answer quality
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS
- Databricks
- Spark
- LLM
- VLM
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
Software Engineer - Data Flywheel(m/w/x)
Berlin
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Building data pipelines for autonomous search evaluation and ranking systems. Big data systems, data modeling, and AWS lakehouse experience essential. Focus on complex retrieval and ranking challenges.
Requirements
- 3+ years software engineering experience
- Strong Python and SQL proficiency
- Experience with big data systems
- Solid data modeling and system design
- Experience with AWS and lakehouse ecosystems
- Comfort with AI-assisted development tools
- Data engineering and warehousing background
- Familiarity with LLM/VLM interfaces
- Experience with machine learning infrastructure
- Experience supporting customer-facing products
Tasks
- Build systems and pipelines for independent data access
- Enable teams to utilize reliable evaluation verdicts
- Own the autonomous evals-to-product data loop
- Transform raw signals into durable decision-making datasets
- Develop robust simulator pipelines for user interactions
- Format product data for LLM and VLM legibility
- Implement data monitoring, lineage, and quality checks
- Maintain high-impact systems that shape answer quality
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS
- Databricks
- Spark
- LLM
- VLM
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?
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Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 120,000 / year