Senior Machine Learning Engineer

Responsibilities

• 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.

Languages