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Hirify AI/Оригинал
TL;DR
Search Machine Learning Engineer Intern (AI): Improving search quality, experimenting with new models, and shipping features that directly impact how users search and discover information, with an accent on retrieval and ranking. Focus on training evaluating models for retrieval, ranking, and classification tasks.
Location: In-person in the Belgrade office, Serbia
Company
Perplexity develops advanced search technologies that help users search for and discover information.
What you will do
Run experiments to improve search quality through better models, data usage, and evaluation tools.
Design and implement retrieval, ranking, and classification components for the search platform and model stack.
Train and evaluate models, including LLM-based approaches, for retrieval, ranking, and classification tasks.
Support scalable deployment and monitoring of search and ranking models.
Build and iterate on RAG pipelines for grounding and answer generation.
Collaborate with Data, AI, Infrastructure, and Product teams to deliver production machine learning improvements.
Requirements
Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.
Experience with Python and common machine learning frameworks such as PyTorch, TensorFlow, or JAX.
Currently enrolled at a Serbian university in a Bachelor’s, Master’s, or PhD program, or self-taught with strong software engineering and technology skills.
Ability to work comfortably in English in a collaborative professional environment.
A completed personal project demonstrating initiative, ownership, persistence, and follow-through.
Willingness to work in person at the Belgrade office.
Nice to have
Experience evaluating model quality with offline metrics or A/B testing.
Previous internship, research, or project experience in search, recommendation, or NLP.
Experience with Rust.
Culture & Benefits
Internship duration of 12–24 weeks.
Full-time or part-time internship options.
Mentorship and guidance from experienced engineers.
Fast-paced, high-performance environment with direct feedback and high standards.
Opportunities to learn production machine learning practices and take ownership of projects.
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