Agencygrid - San Francisco, CA
posted 3 months ago
Grid is on a mission to level the financial playing field by building innovative financial products that empower users to manage their financial futures effectively. As a Staff Machine Learning (ML) Engineer, you will play a crucial role in scaling our core product lines and enhancing our data-driven approach. You will collaborate closely with data scientists, product managers, and engineering leaders to implement and scale statistical inference systems that are vital to our operations. Your work will have high visibility and significant impact on Grid's business performance, as you will be involved in projects that include fraud detection, risk underwriting, and predictive analytics. In this role, you will be responsible for architecting and developing machine learning infrastructure that supports both offline research and online serving. You will have the opportunity to set the standard for Grid's statistical inference and machine learning practices, ensuring that our models are accurate and precise at every layer, from development to deployment. The position offers a unique chance to work in a fast-paced environment where your contributions will directly influence the success of our financial products. The tech stack at Grid is built on GCP, Go, protobufs, BigQuery, and MySQL, optimized for clean data sources and robust data warehousing. As the first full-time ML Engineer, you will have the autonomy to identify key leverage points for machine learning implementations and help foster a strong data science culture within the company. You will be expected to implement and deploy models that align with strategic business objectives, enabling growth, mitigating fraud, and controlling risk in a complex financial landscape.