Software Engineering Manager II, Image Recommendation Modeling

Minimum Qualifications:

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience with Machine Learning and Artificial Intelligence focused on recommender systems.

Preferred Qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 3 years of experience working in a complex, matrixed organization.
• Experience in applied AI/ML work on products with significant user impact.

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.

Image Search has the world's largest corpus of publicly-crawlable images. With around 1.5 Billion searches per day, it is one of the largest properties at Google and an incredibly important surface for search users.

We are building the next-generation Google Images, focused on inspiration journeys, including a queryless, hyper-personalized feed. This is one of the top priorities and critical parts of the Search strategy. We are looking for an experience ML expert to lead a strong team building ranking and personalization models.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Define and steer the long-term technical strategy for how we build the best personalization and ranking models using advanced ML while achieving business goals.
• Manage and mentor a strong team of up to 10 engineers, fostering a collaborative and innovative environment where everyone can do their best work and grow their careers.
• Team up effectively with product managers, researchers and other engineering groups to create exceptional user experiences.
• Stay current with advancements in AI research and find intelligent ways to apply these to solve challenging problems in visual discovery.