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Perplexity

Internship - Search Machine Learning Engineer

Belgrade, US

Role snapshot

Perplexity is hiring a Internship - Search Machine Learning Engineer on a internship basis. This is an on-site role based in Belgrade, US. The listing highlights Search.

Company
Perplexity
Location
Belgrade, US
Work mode
On-site
Job type
Internship
Posted
Oct 2, 2026

Who this role suits

Students and recent graduates who want hands-on experience. Internships are usually judged on curiosity, projects and coursework rather than years of work history.

How to prepare your application

  • Check your résumé against the listed skills (Search) and give each one a concrete example: what you built or achieved, not just that you used it.
  • Put one or two projects near the top of your résumé, with a link a recruiter can open in a few seconds.
  • Revise core fundamentals for the role; early-career interviews lean heavily on basics and how you reason through a problem.
  • Read what Perplexity publishes about its product or team, so you can say clearly why this role and this company.

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About the role

Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information.

Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office.

Responsibilities:

  • Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers.

  • Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models.

  • Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks.

  • Support deployment and monitoring of search and ranking models in a scalable and performant way.

  • Help build and iterate on RAG pipelines for grounding and answer generation.

  • Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML.

Qualifications:

  • Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.

  • Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects.

  • Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required.

  • Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required.

  • Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment

  • Experience with Rust will be a plus

What we're looking for:

  • You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish.

  • You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology.

  • You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start.

  • You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week.

  • You’re comfortable working in English: in a collaborative, professional environment.

  • You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace.

  • You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.