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Internship - Search Machine Learning Engineer

Location
Belgrade
Compensation
Not disclosed
Level
intern
Type
internship · On-site

Posted by employer 8 months ago

First seen on Joblaze 5 months ago

Last verified on the company career page 22 hours ago

Requirements

Education
No formal education required

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Joblaze summary

The Search Machine Learning Engineer Intern at Perplexity will engage in hands-on projects aimed at enhancing search technologies, focusing on retrieval and ranking improvements. Key skills include a solid understanding of machine learning principles, proficiency in Python, and familiarity with frameworks like PyTorch or TensorFlow. This role is ideal for individuals with a background in machine learning or related fields, particularly those eager to learn in a collaborative, fast-paced environment. The internship offers a unique opportunity to work closely with seasoned engineers and contribute to impactful search solutions.

Joblaze insights

Quick facts

Is the Internship - Search Machine Learning Engineer role remote?
No — this is an on-site role in Belgrade.
Where is the role based?
Perplexity is hiring for this position in Belgrade.
What's the tech stack?
Joblaze extracted these technologies from the posting: JAX, PyTorch, Python, Rust, TensorFlow.
What seniority level is this role?
Perplexity targets intern candidates for this position.
Is this full-time or contract?
Internship for this Internship - Search Machine Learning Engineer role at Perplexity.

From the original posting

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.