Posted 13 Jan 2026 (295 days ago) · Job 2948 · Read from the employer's Ashby board, last checked 5 Nov 2026, 08:25 UTC

Internship - Search Machine Learning Engineer

Perplexity · Belgrade, Serbia

Apply on Perplexity’s siteAsk about this jobApply opens the employer’s own application. Nothing is sent from here.

What the posting says

Each fact carries its state:Statedfound in the postingConflictstwo statements disagree, both quotedNot mentionedthe posting does not say

Employment typeStated
Full time

Not mentioned in this posting

“Not mentioned” means the posting does not say. It is not a no. You could ask the recruiter.

PayNot mentioned
The posting does not say
Work arrangementNot mentioned
The posting does not say
ShiftNot mentioned
The posting does not say
ExperienceNot mentioned
The posting does not say
EducationNot mentioned
The posting does not say
Visa sponsorshipNot mentioned
The posting does not say

Requirements, each with its sentence from the posting

These are the employer’s words. The index does not judge whether you meet them.

  • No requirement has been itemised for this posting yet. The employer’s words are in the full posting below.
Read the full posting as the employer wrote it

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.

The posting text is reproduced as the employer wrote it; the index adds nothing to it.