5 lead machine learning engineer jobs found

Summary: The Scaled Operations organization in Meta is responsible for delivering global scaled human operations to power Meta company priorities. As part of Meta's strategic focus on integrating AI into our operational processes, this role will lead programs to transform how we operate within the Scaled Operations. This individual will be dedicated to the highest priority opportunities, identified by Scaled Operations leadership, to automate work and unlock new levels of efficiency and effectiveness. To be successful in this role, an individual will need to work effectively with cross-functional stakeholders, map and optimize processes, identify tooling requirements, and lead implementation and change management for their implementation.Meta is seeking a highly skilled Automation Solutions Architect to join the Scaled Operations AI Accelerator Team. This small, entrepreneurial team is responsible for designing, developing, and deploying AI-powered automation solutions that...

POSITION SUMMARY: We are seeking a hands‑on Principal Enterprise Architect who will serve as the senior-most architecture leader across platforms, applications, data, and cloud. This role sets the strategic direction for our next‑generation digital ecosystem—including microservices, event-driven architecture, DevOps, SRE, and platform engineering—and also leads a team of architects (solution architects, platform architects, data architects, and domain architects). This leader drives both architecture strategy and people leadership : shaping the roadmap, mentoring and developing architects, reviewing designs, and ensuring technology decisions align with business outcomes. The role blends thought leadership, execution excellence, and strong architectural governance. This is an onsite position, located in Springfield, Missouri. Qualified candidates must either be local or willing to relocate to the area. Relocation assistance is provided, if necessary. ESSENTIAL...

POSITION SUMMARY: We are seeking a hands‑on Principal Enterprise Architect who will serve as the senior-most architecture leader across platforms, applications, data, and cloud. This role sets the strategic direction for our next‑generation digital ecosystem—including microservices, event-driven architecture, DevOps, SRE, and platform engineering—and also leads a team of architects (solution architects, platform architects, data architects, and domain architects). This leader drives both architecture strategy and people leadership : shaping the roadmap, mentoring and developing architects, reviewing designs, and ensuring technology decisions align with business outcomes. The role blends thought leadership, execution excellence, and strong architectural governance. This is an onsite position, located in Springfield, Missouri. Qualified candidates must either be local or willing to relocate to the area. Relocation assistance is provided, if necessary. ESSENTIAL...

Job Description As a Principal Data Scientist, you will play a key role in designing, building, and maintaining the data infrastructure that powers statistical analyses and machine learning initiatives for the Network Reliability Engineering organization. You will work closely with data scientists, engineers, and other stakeholders to develop and deploy scalable, efficient, and reliable ETL data pipelines that drive business value. You will also lead initiatives to improve, deliver, and enable reporting and insights. Responsibilities Design, build, and maintain large-scale ETL data pipelines to support statistical analyses and machine learning model training, testing, and deployment Collaborate with data scientists and other stakeholders to understand data needs and develop effective solutions Create comprehensive data strategies to enable reporting, analytics, and machine learning Conduct research to evaluate data and answer strategic business...

Job Description As a Principal Data Scientist, you will play a key role in designing, building, and maintaining the data infrastructure that powers statistical analyses and machine learning initiatives for the Network Reliability Engineering organization. You will work closely with data scientists, engineers, and other stakeholders to develop and deploy scalable, efficient, and reliable ETL data pipelines that drive business value. You will also lead initiatives to improve, deliver, and enable reporting and insights. Responsibilities Design, build, and maintain large-scale ETL data pipelines to support statistical analyses and machine learning model training, testing, and deployment Collaborate with data scientists and other stakeholders to understand data needs and develop effective solutions Create comprehensive data strategies to enable reporting, analytics, and machine learning Conduct research to evaluate data and answer strategic business...