Job Overview
We connect consumers with leading brands through data-driven content and technology, leveraging our global team of high-performers to drive success.
The role requires expertise in building large-scale personalization systems, as well as a proven track record of innovation in personalization or recommender systems.
A successful candidate will possess mastery across multiple ML domains including deep learning and graph-based models, with the ability to accelerate their career by owning outcomes, moving fast, and driving impact.
Key Responsibilities:
* Establish the technical vision for personalization, influencing strategy, architecture, and innovation across teams.
* Solve critical technical challenges such as cold start and exploration/exploitation tradeoffs.
* Design and implement advanced ML solutions using cutting-edge techniques.
* Create and enforce ML architecture patterns and reusable infrastructure across teams.
* Lead initiatives that redefine how personalization impacts business KPIs.
Your Role in Personalization
You will work closely with senior engineers to mentor and influence the development of machine learning solutions.
This is an exciting opportunity to shape the future of personalization and drive real-world impact.
As a key member of our team, you will represent our technical brand externally through speaking engagements, open source contributions, or publications.
About Our Team
We are a remote-first team spanning over 15 countries, united by a culture where speed, ownership, and impact drive success.
We offer a collaborative and dynamic environment that fosters growth and innovation.
Our team members enjoy the autonomy to own outcomes and move quickly to drive impact.
This role offers a unique chance to contribute to a high-growth company that values its employees and encourages professional development.
Requirements
To succeed in this role, you must have at least 10 years of experience designing, developing, and deploying large-scale machine learning systems with a focus on personalization.
You should be recognized industry experts through patents, publications, or product impact.
A demonstrated track record of innovation in personalization or recommender systems is essential.
Mastery across multiple ML domains including deep learning and graph-based models is also required.