{"active":true,"apply_url":"https://jobs.ashbyhq.com/perplexity/19d8bcfd-e493-4b3a-b8fd-11a2a6502da2/application","company":{"claimed":false,"name":"Perplexity","slug":"perplexity","website":"https://www.perplexity.ai"},"countries":["GB","RS"],"employment_type":"full-time","first_seen_at":"2026-10-15T12:23:43Z","getwork_url":"https://getwork.dev/jobs/ab-perplexity-19d8bcfd-e493-4b3a-b8fd-11a2a6502da2/","id":"ab-perplexity-19d8bcfd-e493-4b3a-b8fd-11a2a6502da2","injection_flag":false,"last_seen_at":"2026-10-28T19:30:10Z","location":"Belgrade; London; Serbia","published_at":"2026-08-12T11:36:20Z","regions":["europe"],"remote":"onsite","role_family":"ml","salary":null,"seniority":"unspecified","stack":["llm"],"stack_mentioned":[],"title":"Member of Technical Staff (Machine Learning Engineer, Ranking Quality - Search)","untrusted_description":"Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking. We are looking for a strong ranking generalist who can own ambiguous problems end to end and brings exceptional depth in either neural ranking or production ranking systems.\n\nResponsibilities\n\n- Push search quality forward through models, data, evaluation, infrastructure, or any other leverage available.\n\n- Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely.\n\n- Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate.\n\n- Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring.\n\n- Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity.\n\n- Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome.\n\nQualifications\n\n- Deep understanding of search or recommender systems and their evaluation.\n\n- Proven ownership of a large-scale production ranking system or a substantial class of quality problems.\n\n- Strong machine learning and software engineering skills across data, models, serving, and monitoring.\n\n- Ability to drive ambiguous, cross-team problems without continuous task decomposition.\n\n- Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime.","url":"https://jobs.ashbyhq.com/perplexity/19d8bcfd-e493-4b3a-b8fd-11a2a6502da2"}