Machine Learning Engineer II

Familiarize yourself with the company's mission, products, and development processes. Build relationships with key stakeholders to understand their needs and expectations. Complete improvements/experiments pertaining to customer issues. Regularly monitor and analyze the performance of deployed machine learning models. Work with ML Maintenance team to prioritize and resolve customer issues. Ability to perform role with little guidance with transparency. Communicating across multiple teams to solve problems efficiently. Be comfortable picking up engineering tasks of larger size and more ambiguity.

Flock Safety provides a system aimed at enhancing public safety through crime prevention while ensuring privacy and reducing bias. The main product is a network of license plate reader cameras that capture essential vehicle information, which helps in solving crimes. These cameras utilize machine learning technology to ensure that the data collected is objective and ethically used. Flock Safety serves a variety of clients, including neighborhoods, businesses, and law enforcement agencies in over 1,000 cities. The company operates on a subscription model, where clients pay for the installation, maintenance, and access to data and analytics. This approach not only generates a steady revenue stream but also allows clients to benefit from ongoing updates and support. Flock Safety's goal is to create safer communities by providing effective crime prevention tools that respect individual privacy and foster trust between the public and law enforcement.