Meta - Sunnyvale, CA
posted 2 months ago
Meta is seeking Machine Learning Engineers to join our engineering team, specifically in a role that emphasizes technical leadership. The ideal candidate will possess industry experience in tackling a variety of classification and optimization challenges, including but not limited to payment fraud detection, click-through rate prediction, click-fraud detection, search ranking, text and sentiment classification, collaborative filtering and recommendation systems, as well as spam detection. This position will leverage these skills to address some of the most exciting and large-scale social data and prediction problems that exist on the web today. In this role, you will be responsible for driving the team's goals and technical direction, pursuing opportunities that enhance the efficiency of the larger organization. You will need to effectively communicate complex features and systems in detail, ensuring that all stakeholders understand the implications and benefits of the technologies being developed. A key aspect of the position involves understanding industry and company-wide trends to assess and develop new technologies that can be integrated into existing systems. Collaboration is crucial in this role; you will partner with organizational leaders to improve team performance and identify new opportunities for the organization. This includes influencing the appropriate personnel for staffing and prioritizing new ideas. You will also be tasked with suggesting, collecting, and synthesizing requirements to create an effective feature roadmap that aligns with the company's strategic goals. Additionally, you will develop highly scalable classifiers and tools that leverage machine learning, data regression, and rules-based models. Adapting standard machine learning methods to exploit modern parallel environments, such as distributed clusters, multicore SMP, and GPU, will be essential to your success in this position.