Software Engineering Manager, Applied AI

Minimum qualifications :

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages.
• 3 years of experience with ML infrastructure (e.g., model deployment, evaluation, optimization, data processing, debugging).
• 5 years of experience with ML infrastructure, applied ML / AI algorithms, LLMs / multimodal foundation models, and NLP and working with C++ / Python.
• 5 years of experience with Speech / audio, reinforcement learning, ML infrastructure or specializing in another ML field.

Preferred qualifications :

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.

In this role, you will lead the development of cutting-edge conversational AI, enabling developers to build generative AI agents that can engage in complex, open-ended dialogues & completing autonomous tasks.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

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 .

Skills Required

Software Development, Machine Learning, Data Processing, Natural Language Processing, Testing, Software Design, Artificial Intelligence, Evaluation, Optimization, Debugging, Architecture, Python