AI Data Trust Engineering Manager

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).
  
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  
• 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• Ability to work in a horizontal space and collaboratively across partner teams to deliver results.
  

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 goal of the AI Data organization is to democratize high-quality ML data assets and infrastructure to enable Google to rapidly and iteratively deliver safe, innovative, and impactful product experiences powered by AI models.

We build scalable and automated infrastructure to manage ML assets at Google from development to launch with full traceability and auditability, without compromising velocity via efforts on ML lineage, Binary and Configuration ID (BCID) for ML, ML asset management, and compliance verification and enforcement for Google Deepmind, product teams in Product Areas, and third-party clients of Cloud.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Build, grow, and mentor a team of AI Data Trust Software Engineers in India.
  
• Partner with teams across AI Data, Core ML, Core Data, and Core Privacy, Safety and Security to develop and deliver the foundational building blocks to achieve BCID for ML.
  
• Develop a cohesive user experience and front-end for AI Data Trust products for lineage, compliance, safety, and asset management including automated data and model cards.
  
• Work with partners from Google DeepMind and Product Areas (e.g., Ads, Search, YouTube, Cloud, etc.) to drive tooling adoption. Influence partners and stakeholders within and across the organizations to build joint roadmaps and drive outcomes for AI governance.