Member of Technical Staff (Machine Learning Engineer, Search)
Perplexity
· Belgrade
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Responsibilities
- Build and improve search quality through models, data, and tools
- Architect core search platform and model stack components
- Train and evaluate retrieval, ranking, and classification models
- Deploy models scalably and performantly
- Build and optimize RAG pipelines
- Collaborate across Data, AI, Infrastructure, and Product teams
Requirements
- 5+ years of experience in search or recommender systems
- Deep understanding of retrieval systems and quality evaluation metrics
- Experience training and deploying ML models at scale
- Experience with RAG pipelines and LLMs
- Strong ownership and execution skills
Skills
- Machine Learning
- Search Systems
- Retrieval Systems
- Ranking Models
- LLMs
- RAG Pipelines
- Model Deployment
- Recommender Systems
Benefits
- Competitive salary and equity
- Health, dental, and vision insurance
- Flexible PTO
- Remote-friendly culture
- Learning and development budget
Perplexity is seeking an experienced 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
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