Verified current Job

Member of Technical Staff (Machine Learning Engineer, Search)

Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.

Job Remote Full source details
Perplexity Belgrade, Belgrade, London, Berlin Source published Mar 25, 2025 Verified 6 hours ago
✓ 100% verification score · Source: perplexity (ashby) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time
Work modeRemote / location-flexible

Overview

Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.

Full job description

Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities

  • Relentlessly push search quality forward—through models, data, tools, or any other leverage available
  • Architect and build core components of our search platform and model stack
  • Train and evaluate retrieval, ranking and classification models, including LLMs
  • Deploy models - from boosting to LLMs - in a scalable and performant way
  • Build and optimize RAG pipelines for grounding and answer generation
  • Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery Qualifications
  • Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
  • Proven track record with large-scale search or recommender systems
  • Self-driven, with a strong sense of ownership and execution
  • Minimum of 5 years of working on search or recsys-related projects

Tips for this job

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.

Verification notes

laptop-ats-crawler v3

Original authoritative source

Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

perplexity (ashby) ↗

Browse current Job and Scholarship listings from perplexity (ashby) →

More ways to save

Discover deals, coupons and free courses on our sister site.

Explore DealVorio
Save more with DealVorio: deals, coupons, free courses, apps and books