Drive impactful machine learning solutions as a Staff Engineer. Collaborate in a hybrid work environment to design and operate robust infrastructure for complex online applications. In this pivotal role, you will lead the development of machine learning platform solutions within a collaborative team.

Requirements include strong software engineering skills in Python, Go, or Java, alongside a deep understanding of online recommendation and reinforcement learning systems. Expect to design high-precision feature serving layers and oversee the end-to-end observability for effective operation. Key Responsibilities:

• Design infrastructure solutions for model training
• Build real-time inference systems for production use
• Create high-accuracy feature serving layers
• Implement end-to-end observability frameworks
• Collaborate on cross-functional initiatives with Security and Data Engineering Requirements:
• 10+ years in ML/data platform engineering
• Proficient in Python, Go, or Java
• Expertise in feature stores and ML deployments
• Familiar with Terraform and GitOps methodologies
• Experience with large-scale Airflow orchestration Become a leader in developing machine learning infrastructure, driving innovations for effective, scalable solutions that address complex business challenges.