Senior Machine Learning Engineer

Atlassian, Mountain View, CA +2

The role

Overview

Drive the development and implementation of advanced machine-learning algorithms for business-critical applications.
Build scalable, reliable, and highly performant forecasting algorithms, including deep-learning-based models, to forecast company top-line metrics at a granular level.
Lead the end-to-end machine-learning development lifecycle, including problem definition, data preparation, modeling, experimentation, evaluation, deployment, and iteration.
Design system and model architectures that support production-quality machine-learning solutions.
Develop rigorous model-evaluation approaches and use data-driven insights to improve model quality and business impact.
Collaborate with business, engineering, analytics, Growth, GTM, Product, Finance, and Sales teams to translate complex problems into practical solutions.
Build and improve machine-learning infrastructure and modeling applications that can scale with the needs of the business.

Atlassian, Mountain View, CA +2

Overview

Drive the development and implementation of advanced machine-learning algorithms for business-critical applications.
Build scalable, reliable, and highly performant forecasting algorithms, including deep-learning-based models, to forecast company top-line metrics at a granular level.
Lead the end-to-end machine-learning development lifecycle, including problem definition, data preparation, modeling, experimentation, evaluation, deployment, and iteration.
Design system and model architectures that support production-quality machine-learning solutions.
Develop rigorous model-evaluation approaches and use data-driven insights to improve model quality and business impact.
Collaborate with business, engineering, analytics, Growth, GTM, Product, Finance, and Sales teams to translate complex problems into practical solutions.
Build and improve machine-learning infrastructure and modeling applications that can scale with the needs of the business.