Member of Technical Staff (Machine Learning Engineer, Search)

B Capital; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Comprehensive health insurance

Dental and vision insurance

401(k) plan

Equity options

Zusammenfassung

A leading tech company in Berlin is seeking a Senior Machine Learning Engineer. The role focuses on developing advanced search technologies, improving search quality, and collaborating with cross-functional teams. Candidates should have at least 5 years of experience in search-related projects and a strong understanding of retrieval systems. Comprehensive health and vision insurance, plus 401(k), are included in the benefits package.

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

• Push search quality forward through models, data, tools.
• Architect and build core components of our search platform.
• Train and evaluate retrieval, ranking and classification models.
• Deploy models in a scalable way.
• Build and optimize RAG pipelines for grounding.
• Collaborate with Data, AI, Infrastructure and Product teams.

Kenntnisse

Search and retrieval systems understanding

Experience with large-scale search systems

Ownership and execution skills

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.