Engineering Manager, AI Data, ML Processing and Analysis

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.

Our mission is to improve the quality of models that Google releases through its various product offerings by providing tools and services for making faster and easier to reach model quality goals.

AI in the Gemini Era is profoundly data-centric: quality of the data used for training, fine-tuning, or RAG, matters more to the performance of the end product than anything.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Lead a team of Engineers that scale Data Optimization techniques improving the performance, fairness, and quality of Machine Learning (ML) models.
• Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, user interfaces and supporting users adoption.
• Work in a fast-evolving field, apply research, and work directly with users, to further Google's goal of making AI helpful for everyone.
• Help accelerate relationships and iterate in the way GenAI requires us to.