Senior Software Engineer, Spam and Abuse, AI/ML

Senior Software Engineer, Spam and Abuse, AI/ML corporate_fare Google place San Jose, CA, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical field. 5 years of experience with data structures and algorithms. Experience using SQL to analyze complex datasets and extract business insights. Experience designing, implementing, and scaling large-scale distributed systems in a production environment. About the job Responsibilities Lead the technical roadmap for user understanding and modeling. Design and train sophisticated user reputation and risk models to identify spammers among billions of users, both before and after they are onboard. Develop the continuous training and deployment infrastructure to build, deploy, and monitor ML models. Design, implement and launch highly scalable serving infrastructure to enable real time spammer detection and rapid enforcement. Design and implement extensible APIs to integrate our anti-abuse systems with other Google systems and external telecom partners for signal ingestion and verdict sharing.