Role at a glance
- Salary
- Not Disclosed
- Location
- Belgrade London
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- Minimum of 5 years of working on search or recsys-related projects
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Role Summary
Perplexity is hiring a Machine Learning Engineer to build advanced search technologies focused on retrieval and ranking. The role involves developing search and model-stack components, training and deploying models, and improving RAG-based grounding and answer generation.
What You'll Do
- Push search quality forward through models, data, and tools
- Architect and build core components of the search platform and model stack
- Train and evaluate retrieval, ranking, and classification models, including LLMs
- Deploy models from boosting systems 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
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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.
Required
- Search and retrieval systems
- Quality evaluation principles and metrics
- Large-scale search or recommender systems
- Minimum of 5 years of working on search or recsys-related projects
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
About the company
Perplexity
Startup
Perplexity is an innovative technology company that specializes in developing advanced artificial intelligence solutions aimed at enhancing human-computer interaction. With a focus on natural language processing and machine learning, Perplexity empowers users to access information and insights more intuitively and efficiently. The company is dedicated to creating tools that simplify complex data and foster informed decision-making, thereby transforming the way individuals and organizations engage with knowledge. Through its commitment to excellence and user-centric design, Perplexity is shaping the future of information retrieval and analysis.
Perplexity is an innovative technology company that specializes in developing advanced artificial intelligence solutions aimed at enhancing human-computer interaction. With a focus on natural language processing and machine learning, Perplexity empowers users to access information and insights more intuitively and efficiently. The company is dedicated to creating tools that simplify complex data and foster informed decision-making, thereby transforming the way individuals and organizations engage with knowledge. Through its commitment to excellence and user-centric design, Perplexity is shaping the future of information retrieval and analysis.