Member of Technical Staff (Machine Learning Engineer, Ranking Quality - Search)
Perplexity · Not provided by source
MeritLog read this listing from Perplexity's Ashby job board and last checked it on September 10, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- Belgrade
Hiring context
How this role compares at Perplexity
Perplexity has 114 live roles in MeritLog’s catalog across 11 job families, and 22 of them are in data & analytics. 97 of those listings publish a pay range, a disclosure rate of 85%.
Perplexity concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- Relentlessly 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.
What they're asking for
- Deep understanding of search or recommender systems and their evaluation.Skill
- Proven ownership of a large-scale production ranking system or a substantial class of quality problems.Skill
- Strong machine-learning and software-engineering skills across data, models, serving, and monitoring.Skill
- Ability to drive ambiguous, cross-team problems without continuous task decomposition.Skill
- Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime.Skill
- Minimum 5 years of relevant industry experience.Experience
Parsed by MeritLog from the employer’s own posting. The full description follows below.
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 - Relentlessly 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. - Minimum 5 years of relevant industry experience.