Engineering Manager, Machine Learning, Google One Full-time

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, 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.

Preferred qualifications:

• Experience in the application of Machine Learning to real world problems/products.
• Knowledge of Tensorflow.

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.

Google One is Google’s premium membership offering rooted in storage and premium benefits for transacting with Google. Google One AI Premium will be how we bring the best of our AI’s model to our users. Our team works across multiple product areas to identify, define and build premium experiences that add value and delight to our member’s Google experience. This includes core membership infrastructure as well as feature development on several Google product surfaces.

The Platforms and Ecosystems product area encompasses Google’s various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products-from apps to TVs, from laptops to phones-that have an impact on people’s lives across the world.

Responsibilities

• Manage and coach a team of engineers.
• Collaborate with our cross functional partners to identify key problems we want to solve on shipping quality solutions.
• Collaborate with other product areas at Google who are are looking to go-to-market with their new capabilities.
• Work with Machine Learning teams at Google to quickly adopt infrastructure where it makes sense.