обновлено 7 дней назад
Senior Machine Learning Engineer (Ads)
259 030 - 311 430$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (Ads): Develop deep learning-based models and scalable machine learning solutions for performance advertising and ad ranking algorithms. Focus on building a world-class ML-driven advertising platform and solving complex challenges in recommendation systems and personalized ads.
Location: United States; roles based at the San Mateo, California headquarters are onsite Tuesday through Thursday, with optional presence on Monday and Friday.
Salary: $259,030–$311,430 USD annual base pay, plus potential equity compensation and benefits.
Company
A platform for creating and experiencing 3D digital environments, with a global community of developers and creators.
What you will do
- Design and implement machine learning solutions for ad-ranking algorithms.
- Build large-scale recommendation models and personalized advertising experiences.
- Develop deep learning models for performance advertising use cases.
- Write specifications for new features and product improvements.
- Collaborate across teams to build products with a community-first approach.
- Evaluate emerging technologies and translate relevant research into production products.
Requirements
- 5+ years of experience designing and building scalable machine learning solutions for real-world production use cases.
- Bachelor’s degree in Computer Science or a related discipline.
- Experience initiating and facilitating complex technical decisions across multiple teams and organizations.
- Strong user-focused, creative, strategic, and problem-solving approach.
- For US-based roles, candidates must have appropriate US work authorization; certain visa categories may not be supported.
Nice to have
- Experience training, deploying, and integrating transformer-based models.
- Advanced degree in a related field.
- Experience communicating with relevant industry and technical communities.
Culture & Benefits
- Opportunity to shape an early-stage, ML-driven advertising platform.
- Work on large-scale technical challenges affecting tens of millions of users.
- Full-time employees are eligible for equity compensation and benefits.
- Commitment to equal employment opportunities and reasonable accommodations.
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