Job Location
Google, London, UK
Advanced Qualifications
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Minimum Qualifications
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in either the Python or C++ programming languages.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
- Experience in Data Quality Engineering, including the design, implementation, and monitoring of data quality processes and systems.
Preferred Qualifications
- Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related technical field.
- Experience in working with Machine Learning (ML)/Generative Artificial Intelligence (GenAI) infrastructure.
- Experience designing and deploying systems and processes to effectively measure, report on, and improve data quality.
- Experience excelling in dynamic, ambiguous environments through exceptional collaboration and communication, including building consensus across teams and articulating complex technical concepts.
- Familiarity with ML production tools and lifecycle.
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 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
- Lead a team of engineers in alignment with Google's manager expectations by delivering results, building a community, and developing people.
- Drive success in the generative AI space by streamlining quality data collection, and enhance GenAI model training through quantitative pilot studies to identify and implement best practices for human data collection systems.
- Perform productionizing and standardizing methods developed by data scientists for high-quality data and ensure that these metrics are visible to the right stakeholders, meaningful, and actionable.
- Collaborate with horizontal infrastructure teams to monitor and report data quality at every stage of the data collection lifecycle, from collection design through training and model release.
- Contribute to company priorities to improve tooling around ML data needs for GenAI/LLM use cases.
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