Das ist der Job
Equity: In addition to the base salary, equity may be part of the total compensation package.
Darum lohnt es sich
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: Comprehensive health, dental, and vision insurance for you and your dependents. 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.
Includes a 401(k) plan. #J-18808-Ljbffr
