
Senior Personalization Systems Architect
1 semana atrás
Our team is seeking a seasoned Machine Learning Engineer Leader to spearhead the development of cutting-edge personalization systems. As a technical leader, you will oversee a team of engineers, driving both technical excellence and business impact.
Key responsibilities include:
- Leading a team of machine learning engineers in designing and implementing next-generation personalization systems.
- Architecting multi-stage ranking systems that integrate retrieval, ranking, and re-ranking capabilities.
- Defining technical roadmaps aligned with business objectives and driving improvements in model quality, system reliability, and development velocity.
- Establishing best practices for model development and deployment, collaborating with cross-functional teams, and contributing hands-on to critical model development.
To succeed in this role, you will require:
- At least 7 years of experience in machine learning engineering, with a minimum of 2 years leading technical teams.
- Deep expertise in large-scale personalization systems, including modern ML architectures such as two-tower, transformer-based, and graph neural networks.
- Strong system design skills for machine learning infrastructure, as well as the ability to mentor engineers and drive technical decisions.
- A Bachelor's or Master's degree in Computer Science or equivalent experience.
The following qualifications would be advantageous:
- Experience in adtech, e-commerce, or content platforms.
- Published papers or significant machine learning contributions.
- Knowledge of reinforcement learning for personalization.
This is a full-time position requiring strong leadership skills, technical expertise, and a passion for driving innovation.
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