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

Pantera Capital; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A tech-driven investment firm in Berlin is seeking an experienced Senior Machine Learning Engineer to advance search technologies. Responsibilities include improving search quality, building platform components, and deploying scalable models. The ideal candidate should have a strong background in search systems with at least 5 years of experience. Comprehensive benefits, including health and 401(k), are offered.

Leistungen

Comprehensive health insurance

Dental insurance

Vision insurance

401(k) plan

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

• Push search quality forward through models and data.
• Architect and build core components of the search platform.
• Train and evaluate retrieval and ranking models.

Kenntnisse

Search and retrieval systems

Large-scale search systems

Ownership and execution

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.