Synced from Ashby · Jan 13

Search Machine Learning Engineer

PerplexityBelgradePosted Jan 13, 2026
Machine Learning EngineerIntern
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Jan 13
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Ashby
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Job description

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.

View original posting on Ashby

What applying to Perplexity usually looks like

Based on publicly available information, candidates applying through ashby for roles at Perplexity can generally expect a structured, digital-first process. Applications are typically submitted through an Ashby-hosted careers page, and candidates may receive automated confirmation upon submission. The process commonly begins with an initial resume or application screen, potentially followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter multiple stages, which could include technical assessments, hiring manager discussions, or panel-style interviews relevant to the specific function, such as engineering, product, or business roles. Communication is often handled through email or the Ashby candidate portal, and response times vary depending on team needs and hiring urgency. Candidates are encouraged to review the job posting closely, as specific requirements and evaluation criteria can differ meaningfully across the many open roles.”}}

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Search Machine Learning Engineer
Perplexity · Belgrade
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