Member of Technical Staff (Machine Learning Engineer, Search)

Perplexity; Greater London; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Benefits dieser Stelle

Equity as part of total compensation

Comprehensive health, dental, and vision insurance

401(k) plan

Zusammenfassung

A technology company in Berlin is seeking an experienced Senior Machine Learning Engineer to advance search technologies with a focus on retrieval and ranking. Responsibilities include improving search quality, building components for the search platform, and training models. Ideal candidates should have extensive experience in search systems, including a track record in large-scale projects and a minimum of 5 years in relevant roles. The position offers a full-time contract and various benefits.

Qualifikationen

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

Aufgaben

• Relentlessly 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.

Kenntnisse

Search and retrieval systems

Large-scale search or recommender systems

Self-driven and ownership

Jobbeschreibung

Search Senior Machine Learning Engineer (London, Belgrade, Berlin)

Perplexity is seeking an experienced Senior 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.

Final offer amounts are determined by multiple factors, including experience and expertise.

Benefits

• Equity may be part of the total compensation package.
• Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development