Engineering Manager, Machine Learning, Translate

Minimum qualifications:

• 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).
• 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 building and deploying Machine Learning (ML) models.

Preferred qualifications:

• 9 years of experience in software engineering with a strong focus on ML.
• 2 years of experience managing and leading high-performing engineering teams.
• Ability to work effectively in a highly collaborative and cross-functional environment.

Responsibilities

• Create goals for the problem spaces, provide technical guidance, drive execution and advocate adoption of best practices.
• Build, mentor, and guide a team of engineers, fostering a collaborative and supportive environment where everyone can thrive. Invest in their professional development through regular feedback, coaching and opportunities for growth.
• Collaborate across teams and partner with researchers, product managers, and geographically distributed engineering teams.

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.

Machine Translation is foundational to Google's mission of making information universally accessible and useful. Google's Translate team provides machine translation services for all of Google's services and users, covering languages, and serving translations daily at high quality and efficiency.

In this role, you will continuously train, evaluate and launch new translation models, to ensure that Google's offerings are of best quality and meet the needs of users and clients. You will collaborate with the Research team and other teams to bring innovation.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.