Software Engineering Manager II, Google Cloud, ...

Minimum QualificationsCheck below to see if you have what is needed for this opportunity, and if so, make an application asap.Bachelor's degree or equivalent practical experience.8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.2 years of experience building and developing large-scale infrastructure or distributed systems.2 years of experience building ML workflows and infrastructure for evaluation or tracking model development.Applied ML experience to solve real-world problems such as image classification, anomaly detection, ranking, etc.Preferred QualificationsMaster's degree or PhD in Engineering, Computer Science, or a related technical field.3 years of experience working in a complex, matrixed organization.About The JobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.ResponsibilitiesDrive the development and implementation of robust evaluation strategies to ensure the high quality and effectiveness of our security features.Leverage knowledge of anomaly detection techniques to identify and address potential vulnerabilities or unexpected behaviors in reCAPTCHA's Machine Learning (ML) systems.Explore and implement innovative synthetic labeling methods, such as label propagation, to enhance the availability of labeled data for training and evaluation.Develop and execute a comprehensive evaluation strategy encompassing anomaly detection, quality assessment, and metric selection for reCAPTCHA's ML systems.Define, track, and analyze key performance indicators to assess the effectiveness and efficiency of models in detecting and mitigating security threats.#J-18808-Ljbffr

Created: 2024-11-06