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

Pantera Capital; Berlin; Hybrid; EUR 80.000 - 120.000; Vollzeit

Zusammenfassung

A leading tech firm is seeking a Senior Machine Learning Engineer to enhance advanced search technologies in Berlin. The role involves improving search quality, architecting core platform components, and collaborating with various teams. Candidates should have significant experience with search systems and a strong sense of ownership. This position offers comprehensive health benefits, equity options, and a hybrid work model.

Leistungen

Comprehensive health, dental, and vision insurance

401(k) plan

Equity options

Qualifikationen

• Deep understanding of search and retrieval systems.
• 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 various means.
• Architect and build core components of our search platform.
• Train and evaluate retrieval, ranking, and classification models.
• Deploy models in a scalable and performant way.
• Collaborate with teams to ensure fast delivery.

Kenntnisse

Search quality evaluation

Large-scale search systems

Self-driven execution

Collaboration with cross-functional teams

Jobbeschreibung

Location

Belgrade

Employment Type

Full time

Location Type

Hybrid

Department

Search

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.

Equity: In addition to the base salary, equity may be part of the total compensation package.

Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.