Machine Learning Engineer (L4) - Production Science
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The role
Design, maintain, and optimize ML training pipelines and real-time model serving infrastructure.
Improve ML observability, model evaluation, monitoring, and debugging tools to ensure reliability of deployed models.
Collaborate with ML scientists and engineering teams to integrate deployed models into studio applications.
Develop ML solutions to extract information from studio artifacts like scripts, budgets, cost reports, and schedules.
Stay up to date with ML infrastructure advancements, identifying new technologies and best practices to enhance efficiency.
Build scalable, data-intensive applications with a strong focus on feature engineering and end-to-end lifecycle management.
Improve ML observability, model evaluation, monitoring, and debugging tools to ensure reliability of deployed models.
Collaborate with ML scientists and engineering teams to integrate deployed models into studio applications.
Develop ML solutions to extract information from studio artifacts like scripts, budgets, cost reports, and schedules.
Stay up to date with ML infrastructure advancements, identifying new technologies and best practices to enhance efficiency.
Build scalable, data-intensive applications with a strong focus on feature engineering and end-to-end lifecycle management.
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