Machine Learning Engineer (Technical Leadership)

About the job

Meta is seeking a Machine Learning Engineer to join our integrity engineering team. The ideal candidate will have deep industry experience building and deploying machine learning systems at scale, including model development, training infrastructure, and optimization. You will work on leveraging ML models to detect and enforce content to keep the platforms safe and create a better user experience across Meta's products — from payment fraud detection and click-through rate prediction to search ranking, content enforcement, and spam detection. This role involves applying advanced ML techniques to some of the most exciting and massive-scale prediction problems on the web.

Responsibilities

Drive the team's ML strategy & technical direction to pursue opportunities that advance machine learning capabilities across the organization Design and develop end-to-end machine learning systems, from data pipelines to model training, evaluation, and deployment Lead experimentation and A/B testing frameworks to measure and optimize model performance Build highly scalable classifiers and ML tools leveraging deep learning, data regression, and rules-based models Adapt and optimize machine learning methods for modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU) Partner with research teams to translate cutting-edge ML research into production systems Mentor and influence ML engineers across organizations, raising the bar for ML best practices Identify new ML opportunities for the larger organization and influence staffing/prioritization of these initiatives Effectively communicate complex ML systems and architectural decisions to technical and non-technical stakeholders