4 дня назад
Research Scientist (AI/ML)
200 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Scientist (AI/ML) (AdTech): Building mathematical and statistical models for real-time bidding, ad matching, conversion prediction, and privacy-preserving audience clustering with an accent on applied research and measurable advertising impact. Focus on designing algorithms, productionizing regression models, analyzing data for optimization opportunities, and balancing publisher and advertiser outcomes.
Location: San Francisco, United States; work format: Hybrid
Salary: $200K–$300K annually, plus equity and benefits
Company
Labs is building an advertising network for AI-native products, helping publishers monetize and advertisers reach relevant audiences while preserving speed, user experience, and privacy.
What you will do
- Design efficient algorithms for real-time bidding systems using current pricing research.
- Create and productionize regression models to predict end conversions from demographic, audience, and semantic data.
- Apply privacy-preserving clustering methods to categorize conversational data and improve advertiser outreach.
- Analyze advertising data to identify opportunities for improving the core ad-matching system.
- Balance publisher and advertiser outcomes through data-driven research and experimentation.
Requirements
- Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field.
- Strong mathematical and statistical modeling skills.
- Ability to identify challenging problems, formulate testable hypotheses, and conduct impactful research.
- Ability to communicate conclusions to both technical and non-technical audiences.
- Commitment to continuous learning and questioning the status quo.
Culture & Benefits
- Competitive base salary, meaningful equity, and top-tier benefits.
- Small, fast-growing team based in San Francisco with a high-trust working environment.
- Opportunity to ship research and code that shape the company and its advertising ecosystem.
- Technical environment includes AWS, Terraform, PostgreSQL, ClickHouse, Redis, Kafka, Python, Ruby on Rails, React, and TypeScript.
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