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Chief Personalization Engineer
3 semanas atrás
This is a highly skilled leadership role for an experienced Machine Learning Engineer to lead the development and implementation of large-scale personalization systems.
The ideal candidate will have extensive knowledge of modern ML architectures, strong system design skills for ML infrastructure, and the ability to mentor engineers and drive technical decisions.
In this role, you will be responsible for architecting multi-stage ranking systems, defining technical roadmaps aligned with business objectives, and driving improvements in model quality, system reliability, and development velocity.
You will also partner with product, data science, and engineering teams to deliver high-quality solutions that meet business needs.
This is a challenging and rewarding opportunity for a senior ML Engineer who wants to accelerate their career and make a significant impact on a fast-paced digital media company.
Key Responsibilities:- Lead a team of ML engineers building personalization systems
- Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
- Define technical roadmap aligned with business objectives
- Drive improvements in model quality, system reliability, and development velocity
- Establish best practices for model development and deployment
- Partner with product, data science, and engineering teams
- 7+ years in ML engineering, 2+ years leading technical teams
- Deep expertise in large-scale personalization systems
- Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
- Strong system design skills for ML infrastructure
- Proven ability to mentor engineers and drive technical decisions
- Opportunity to work with a talented team of engineers and scientists
- Chance to develop and implement cutting-edge machine learning technologies
- Flexible work arrangements and remote work options
- Comprehensive benefits package, including medical, dental, and vision insurance
- Mid-Senior level
- Full-time
- Engineering and Information Technology
- Advertising Services