Meta's Monetization Ranking AI Research organization is at the forefront of delivering personalized advertising solutions that maximize both user utility and advertiser value. As a Research Engineer in the Core ML - Monetization AI team, you'll be part of a dynamic group dedicated to advancing AI and ML technologies across all aspects of Monetization, including ranking, retrieval, model architecture, and optimization.
The role combines cutting-edge research with practical implementation, focusing on developing large-scale model architectures and applying advanced techniques in deep learning, reinforcement learning, and natural language processing. You'll work on challenging problems involving model scaling, transfer learning, and next-generation sequence learning techniques.
The position offers an opportunity to make significant impact, as the team's innovations have contributed tens of billions in revenue through consistent integration of AI/ML advancements. You'll collaborate with cross-functional teams, applying expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI.
The ideal candidate should have strong research experience in deep learning or related areas, programming proficiency in Python, and hands-on experience with frameworks like PyTorch. A background in academic or industry research is required, with preferred qualifications including an advanced degree and publications at top AI conferences.
Meta offers a competitive compensation package including base salary ranging from $56,250 to $173,000 annually, plus bonus and equity opportunities. The company provides comprehensive benefits and a collaborative environment where you can work on meaningful problems while advancing the state of the art in AI research and applications.