Member of Technical Staff (Machine Learning Engineer, Ranking Quality - Search)
Belgrade · London · Belgrade, Serbia
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Search — team source
Department: Search
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require sponsorship for employment visa status in the United Kingdom, Germany or Serbia?
From the employer’s application form
What you’ll work on
Full postingOwn ranking-quality problems end to end, from evaluation to safe shipping
Train and evaluate retrieval, ranking, and classification models, including LLM-based ones
Build and operate ranking infrastructure, including low-latency inference and monitoring
Balance quality, latency, reliability, cost and complexity in design decisions
From the employer’s posting
Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely.
Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate.
Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring.
Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity.
What you’ll bring
All qualificationsCore experience
- Exceptional depth in neural ranking methods or low-latency ranking systems
- Proven ownership of a large-scale production ranking system or quality problems
- Deep understanding of search or recommender systems and their evaluation
- Strong machine learning and software engineering skills across data, models, serving and monitoring
Qualification wording
Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime.
Proven ownership of a large-scale production ranking system or a substantial class of quality problems.
Deep understanding of search or recommender systems and their evaluation.
Strong machine learning and software engineering skills across data, models, serving, and monitoring.
Posting record
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- Live
- First seen by us
- Aug 13, 2026 · 78 days ago
- Recorded sightings
- 197
- Last seen by us
- Oct 30, 2026
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Your next step
- Have your resume and examples of relevant work ready.
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Job 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.
Responsibilities
Push search quality forward through models, data, evaluation, infrastructure, or any other leverage available.
Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely.
Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate.
Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring.
Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity.
Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome.
Qualifications
Deep understanding of search or recommender systems and their evaluation.
Proven ownership of a large-scale production ranking system or a substantial class of quality problems.
Strong machine learning and software engineering skills across data, models, serving, and monitoring.
Ability to drive ambiguous, cross-team problems without continuous task decomposition.
Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Belgrade, Serbia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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