Member of Technical Staff (Data Scientist/Engineer, Online Metrics)
Perplexity - New York City, New York, United States, San Francisco
Posted Feb 13, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Growth-stage From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Member of Technical Staff (Data Scientist/Engineer, Online Metrics) New York City, New York, United States, San Francisco Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As a Data Scientist/Engineer on this team, you will derive online signals from user interactions to bridge the gap between changes in answer quality and observed user behavior. Responsibilities - Discover and validate online signals from user interactions that serve as reliable proxies for true answer quality - Design and implement novel online metrics to be tracked both in A/B testing and on product health dashboards, ensuring alignment with ground-truth evaluations - Analyze experimental results to validate these metrics, ensuring they accurately predict user satisfaction and drive product decisions - Build and maintain the data pipelines that calculate these metrics at scale, delivering actionable quality signals to Search, Product, and model training teams - Communicate findings and bring clarity through close collaboration with Product and Search teams - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality Qualifications - MS in a technical field or equivalent experience - 4+ years of experience working as a Data Scientist, Analytics Engineer, or related role - Experience working on search, recommendation, or LLM-based products, with an emphasis
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