Member of Technical Staff (Machine Learning Engineer, Search)

Perplexity; Berlin; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Perplexity is seeking an experienced Machine Learning Engineer to advance the next generation of search technologies, concentrating on retrieval and ranking. You will push search quality forward, architect core components of the search platform, and train models including LLMs.

Responsibilities include deploying scalable models, building RAG pipelines, and collaborating with Data, AI, Infrastructure and Product teams to ensure fast, high-quality delivery.

Qualifikationen

• Deep understanding of search and retrieval systems, including quality evaluation principles and metrics.
• Proven track record with large-scale search or recommender systems.
• Self-driven, with a strong sense of ownership and execution.
• Minimum of 5 years of working on search or recsys-related projects.

Aufgaben

• Push search quality forward through models, data, tools, or other leverage.
• Architect and build core components of our search platform and model stack.
• Train and evaluate retrieval, ranking and classification models, including LLMs.
• Deploy models—from boosting to LLMs—in a scalable and performant way.
• Build and optimize RAG pipelines for grounding and answer generation.
• Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high-quality delivery.

Kenntnisse

Search/retrieval systems

Ownership/execution

5+ years experience

Quality evaluation metrics

Jobbeschreibung

Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.

Responsibilities

• Relentlessly push search quality forward—through models, data, tools, or any other leverage available
• Architect and build core components of our search platform and model stack
• Train and evaluate retrieval, ranking and classification models, including LLMs
• Deploy models - from boosting to LLMs - in a scalable and performant way
• Build and optimize RAG pipelines for grounding and answer generation
• Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery

Qualifications

• Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
• Proven track record with large-scale search or recommender systems
• Self-driven, with a strong sense of ownership and execution
• Minimum of 5 years of working on search or recsys-related projects