Staff Machine Learning Engineer (L4)
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El puesto
Own end-to-end development of scalable machine learning solutions in production, from problem framing to deployment and monitoring.
Design and validate both deep learning and traditional ML models, balancing performance, robustness, and business impact.
Partner with product, engineering, and data teams to translate requirements into scalable data products and architectures.
Build and optimize batch and real-time data pipelines; collaborate with data platform and software engineers to ship ML models.
Uphold engineering standards through code reviews, automated testing, monitoring, and mentoring across the team.
Ramp up quickly in new domains and data sources, and drive experiments to inform the product roadmap.
Design and validate both deep learning and traditional ML models, balancing performance, robustness, and business impact.
Partner with product, engineering, and data teams to translate requirements into scalable data products and architectures.
Build and optimize batch and real-time data pipelines; collaborate with data platform and software engineers to ship ML models.
Uphold engineering standards through code reviews, automated testing, monitoring, and mentoring across the team.
Ramp up quickly in new domains and data sources, and drive experiments to inform the product roadmap.
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