Senior Staff Machine Learning Engineer, Agentic Systems
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The role
Design, build, and optimize scalable ML infrastructure to train, evaluate, and deploy large language models in production.
Develop abstractions to automate steps across diverse ML workflows and enable repeatable, reliable pipelines.
Collaborate with cross-functional teams—engineering, data analytics, ML researchers, and product—to ship features that impact thousands of users.
Lead efforts to implement best practices in ML and data engineering, focusing on latency, throughput, and system reliability.
Own the end-to-end lifecycle of models—from experimentation and deployment to monitoring and continuous improvement.
Contribute to architectural decisions, mentor teammates, and thrive in a fast-paced environment delivering meaningful business impact.
Develop abstractions to automate steps across diverse ML workflows and enable repeatable, reliable pipelines.
Collaborate with cross-functional teams—engineering, data analytics, ML researchers, and product—to ship features that impact thousands of users.
Lead efforts to implement best practices in ML and data engineering, focusing on latency, throughput, and system reliability.
Own the end-to-end lifecycle of models—from experimentation and deployment to monitoring and continuous improvement.
Contribute to architectural decisions, mentor teammates, and thrive in a fast-paced environment delivering meaningful business impact.
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