Ai Research Engineer

Who you are

You have a strong background in AI and machine learning, with a focus on recommender systems. Your expertise allows you to contribute to cutting-edge research and production efforts that drive significant revenue impact. You are passionate about integrating advanced technologies into practical applications, ensuring that both users and advertisers benefit from personalized experiences.

You thrive in collaborative environments, working closely with cross-functional teams to achieve shared goals. Your ability to communicate complex concepts clearly helps bridge the gap between technical and non-technical stakeholders. You are driven by results and are always looking for ways to improve processes and outcomes.

What you'll do

As an AI Research Engineer at Meta, you will be part of the Monetization Ranking and Foundational AI team. Your primary responsibility will be to advance AI, ML, and RecSys technologies that enhance the effectiveness of personalized ads. You will focus on various aspects of monetization, including ranking, retrieval, model architecture, and optimization.

You will conduct state-of-the-art research and apply your findings to real-world applications, contributing to the long-term goals of Meta's products. Your work will directly impact the company's revenue, as you help develop systems that maximize both user utility and advertiser value.

You will collaborate with other specialists in AI, ML, and RecSys, sharing insights and best practices to drive innovation within the team. Your contributions will help shape the future of advertising at Meta, ensuring that our products remain at the forefront of technology.

What we offer

At Meta, you will be part of a dynamic team that is dedicated to pushing the boundaries of AI and machine learning. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have the chance to work on impactful projects that reach millions of users worldwide, making a difference in how advertising is delivered and experienced.

Join us in our mission to create personalized experiences that benefit users and advertisers alike. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.