Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and data science, with experience in designing and implementing forecasting, financial, or optimization models that drive strategic decisions. You are proficient in Python and SQL, enabling you to transform raw data into actionable insights. Your ability to collaborate with analytics and data science teams is crucial, as you will partner closely to bring experimental models into production. You understand the full machine learning lifecycle and are adept at building explainable, self-optimizing systems that enhance decision-making processes.

Desirable

Experience with advanced modeling techniques and automation frameworks is a plus. Familiarity with AI-driven workflows and the ability to work across various business domains will set you apart. You are comfortable navigating complex data environments and can effectively communicate insights to stakeholders.

What you'll do

In this role, you will design and implement machine learning models that power strategic decisions across Block's various platforms. You will work on building AI-driven workflows that not only predict outcomes but also help shape them. Your responsibilities will include collaborating with finance and operations partners to ensure that the systems you build are transparent, actionable, and continuously learning. You will be involved in the entire machine learning lifecycle, from data collection and preprocessing to model training and deployment.

You will also be tasked with transforming raw data into foresight through advanced modeling techniques. This involves working closely with analytics teams to ensure that the models you develop are robust and scalable. You will have the opportunity to innovate and experiment with new methodologies to enhance the effectiveness of the models you create.

What we offer

At Block, you will be part of a mission-driven company focused on economic empowerment. We provide a collaborative work environment where diverse perspectives are valued. You will have access to resources and support to help you grow in your career. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds to contribute to our success. Join us in building a financial system that is open to everyone.