Perplexity

Internship - Search Machine Learning Engineer

Perplexity
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10 months ago
Belgrade, SerbiaIntern

Responsibilities

  • Contribute to search-quality experiments involving improved models, data usage, and evaluation tools under senior engineer guidance.
  • Design and implement retrieval, ranking, and classification components of the search platform and model stack.
  • Train and evaluate models, including LLM-based approaches, for retrieval, ranking, and classification.
  • Support scalable and performant 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 ML improvements.

Requirements

  • Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.
  • Experience using Python and common machine learning frameworks such as PyTorch, TensorFlow, or JAX through academic, open-source, or personal projects.
  • Currently enrolled at a Serbian university in a bachelor’s, master’s, or PhD program, or self-taught with strong passion for software engineering and technology.
  • A completed project demonstrating initiative and ownership beyond class assignments.
  • Comfort working in English and in a fast-paced, high-performance environment.
  • Experience with offline model-quality metrics, A/B testing, search, recommendation, or NLP is preferred but not required.
  • Experience with Rust is preferred.

Benefits

  • 12–24 week internship program.
  • Full-time or part-time schedule.
  • In-person work at the Belgrade office.

Tech Stack

Categories

Perplexity

About Perplexity

1,001-5,000 employees

Perplexity builds an AI-powered answer engine for web and mobile and an enterprise product, Perplexity Computer, for AI-driven workflows across tools and apps. The company monetizes through individual subscriptions (Perplexity Pro) and enterprise plans. Founded in 2022 and headquartered in San Francisco, it operates as a privately held company.

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