Engineering Manager, Ads ML Modeling

MINIMUM QUALIFICATIONS:

* Bachelor’s degree or equivalent practical experience.

* 8 years of experience in software development.

* 5 years of experience leading ML design and optimizing ML infrastructure

(e.g., model deployment, model evaluation, data processing, debugging, fine

tuning).

* 2 years of experience in a people management or team leadership role.

* Experience working with SQL.

PREFERRED QUALIFICATIONS:

* Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

* 3 years of experience working in a complex, matrixed organization involving

cross-functional, or cross-business projects.

* Experience in Ads.

* Experience in C++.

* Experience in Flume.

* Experience working with nonlinear regression modeling, classification, and

time series regression.

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.

The Ads Optimization Quality ML Modeling Team builds and maintains models to

improve the optimization of advertisers' campaigns and accounts. The team is

highly innovative, product-focused and collaborative. It's an integral part of

the broader Ads Optimization Quality team, and also works closely with various

partner teams. The team has made critical contributions to multiple

high-visibility, high-impact products, including forecasting traffic for new

campaign creation, forecasting seasonal traffic changes, predictive caching to

reduce initial page load latency in the Ads UI and UI ranking models to increase

engagement with optimization features.

Google Ads is helping power the open internet with the best technology that

connects and creates value for people, publishers, advertisers, and Google.

We’re made up of multiple teams, building Google’s Advertising products

including search, display, shopping, travel and video advertising, as well as

analytics. Our teams create trusted experiences between people and businesses

with useful ads. We help grow businesses of all sizes from small businesses, to

large brands, to YouTube creators, with effective advertiser tools that deliver

measurable results. We also enable Google to engage with customers at scale.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Manage and mentor engineer ML team, providing technical guidance, code

reviews, and career development.

* Partner with leadership to set technical direction, align with product

strategy, and drive quarterly planning and execution.

* Architect, prototype, and research new modeling applications, data analyses,

and methodologies.

* Manage tactical coding, on-call escalations, and infrastructure support to

keep the core team focused on main deliverables.

* Partner across the broader Ads Optimization organization to identify new

opportunities and deliver platform services.