Member of Technical Staff (Machine Learning Engineer, Search)
At a glance
Senior Machine Learning Engineering role at Perplexity. Belgrade · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Improve search quality by developing models, data, tools or other useful levers
- Design and build key parts of the search platform and its model stack
- Train and assess retrieval, ranking and classification models, including large language models
- Put models into production at scale, then tune them for speed and performance
- Build and refine RAG pipelines for grounded answers, working with data, AI, infrastructure and product teams
What you bring
- At least five years working on search or recommender-system projects
- Strong command of search and retrieval, including how to measure quality
- A track record building search or recommendation systems for large-scale use
- You take initiative, own work and follow it through
Who this fits
This senior role suits an experienced search and machine learning engineer focused on retrieval, ranking and recommendation systems. It is hybrid in Belgrade, Serbia.
From 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