Job Description

Google is seeking a Machine Learning Software Engineer to develop and enhance systems that protect against payment fraud while ensuring a seamless user experience. The role involves building large-scale infrastructure and collaborating on machine learning solutions to identify new fraud patterns.

Requirements

Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing and launching software products.
5 years of experience building and developing large-scale infrastructure, distributed systems or networks.
Experience building machine learning solutions and leveraging specific machine learning architectures.
Experience in the Java programming language.
8 years of experience with data structures/algorithms (preferred).
3 years of experience in a technical leadership role leading project teams (preferred).
Experience with Java in addition to C++, Python or Kotlin (preferred).
Experience with distributed computing, systems and data concepts (preferred).
Experience in internet technology, online search, E-Commerce, online payments or online advertising/publishing (preferred).

Responsibilities

Manage the tradeoff between catching fraud and maintaining a good user experience.
Maintain small degradations or outages that could result in large business impacts to Google.
Identify new fraud patterns and improve the team's ability to incorporate new signals.
Collaborate closely with model owners to impact the construction and serving of features into ML models.
Design and build critical metrics needed by the business to understand fraud prevention.