# Internship - Search Machine Learning Engineer at Perplexity

> United Kingdom · Intern · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Aperplexity%3A71168628-1998-47d3-87a9-be7bc56a430d (read 2026-11-07).

## Facts (observed)

- Company: [Perplexity](https://alderhq.app/companies/perplexity)
- Location text: London
- Where it can be done from (inferred): United Kingdom (evidence: "Location: London")
- Posted: 2026-04-08 (213 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/perplexity/71168628-1998-47d3-87a9-be7bc56a430d
- Skills listed (inferred): Python, Rust, PyTorch, TensorFlow, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (London, n 3): p25 £65k, median £65k, p75 £73k

## Description (the employer's text)

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, in-person in the London 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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aperplexity%3A71168628-1998-47d3-87a9-be7bc56a430d and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.