Engineering Manager, AI/ML, HR Engineering

Minimum qualifications:
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience 8 years of experience with software development in one or more programming languages (eg, 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 Experience in one or more disciplines such as machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence Preferred qualifications: Understanding of agentic AI/ML and Large Language Model (LLM) Excellent coding skills About The Job Like 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 At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone As Googles IT organization, we provide end-to-end solutions for organizations across Google We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone In the simplest terms, we are Google for Googlers Responsibilities Manage a team of AI software engineers, fostering a collaborative and high-performing environment This includes hiring, mentoring, performance management, and career development Drive the design, development, and deployment of scalable and reliable Artificial Intelligence/Machine Learning (AI/ML) systems and infrastructure relevant to HR applications (eg, talent acquisition, performance management, employee engagement, workforce planning) Collaborate with Product Managers and HR stakeholders to understand business needs, define product requirements, and translate them into technical specifications and project plans Oversee the architecture and implementation of data pipelines using Google's data processing infrastructure (eg, Beam, Dataflow) to support AI/ML initiatives Stay up-to-date of the latest advancements in AI/ML and related technologies, evaluating their potential application within human resources and guiding the team's adoption of relevant innovations Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form