Role Overview: The Documents and Vision Intelligence team builds a unified intelligence layer to transform unstructured information—text documents and image content—into trusted signals for downstream automation and decision-making across multiple lines of business. As a Staff Machine Learning Engineer, you will serve as a technical lead in the design, development, and deployment of advanced ML solutions across the organization. This role focuses on building scalable ML systems, applying AI-native thinking to accelerate experimentation and delivery, and partnering closely with product and business stakeholders to solve high-impact problems. You will lead a team of ML engineers and data scientists, ensuring solutions are robust, high-performing, and production-ready. You should combine hands-on engineering strength with strong communication, product and business acumen, and thrive in ambiguous environments.
Role Overview: The Documents and Vision Intelligence team builds a unified intelligence layer to transform unstructured information—text documents and image content—into trusted signals for downstream automation and decision-making across multiple lines of business. As a Staff Machine Learning Engineer, you will serve as a technical lead in the design, development, and deployment of advanced ML solutions across the organization. This role focuses on building scalable ML systems, applying AI-native thinking to accelerate experimentation and delivery, and partnering closely with product and business stakeholders to solve high-impact problems. You will lead a team of ML engineers and data scientists, ensuring solutions are robust, high-performing, and production-ready. You should combine hands-on engineering strength with strong communication, product and business acumen, and thrive in ambiguous environments.
Key Responsibilities: Design and implement ML models, services, and components that address real-world business problems in close collaboration with product and business teams. Write production-grade code for ML models as services and APIs. Collaborate with cross-functional teams to integrate ML into production systems. Build scalable data processing workflows and model deployment infrastructure. Debug and resolve model performance issues, track metrics, and drive continuous improvements. Stay current with modern ML, generative AI, LLMs, agentic workflows, and AI engineering tooling, applying AI-native practices to improve velocity and solution quality. Lead the design a
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Key Responsibilities: Design and implement ML models, services, and components that address real-world business problems in close collaboration with product and business teams. Write production-grade code for ML models as services and APIs. Collaborate with cross-functional teams to integrate ML into production systems. Build scalable data processing workflows and model deployment infrastructure. Debug and resolve model performance issues, track metrics, and drive continuous improvements. Stay current with modern ML, generative AI, LLMs, agentic workflows, and AI engineering tooling, applying AI-native practices to improve velocity and solution quality. Lead the design a
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Based on: Staff Machine Learning Engineer
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