Applied AI Engineering Lead, Core Enterprise, Core

1 Month ago • 8-10 Years • Artificial Intelligence

Job Summary

Job Description

This Applied AI Engineering Lead role at Google's Core Enterprise team involves managing an applied AI engineering team, partnering with product management and other engineering teams, and directing global and regional AI initiatives to address business challenges across various Google Enterprise domains (Legal, People Operations, Finance, etc.). The ideal candidate will have 8+ years of software development experience (Python, C, C++, Java, JavaScript), 3+ years in technical leadership, and 2+ years in people management. Experience with machine learning modeling, training, and evaluation is crucial. Responsibilities include guiding the AI engineering team, developing the team roadmap, and executing deliverables. The role requires strong technical and leadership skills with experience managing engineers across multiple teams and locations.
Must have:
  • 8+ years software development experience
  • 3+ years technical leadership
  • 2+ years people management
  • Machine learning modeling, training, evaluation
  • Guide and manage applied AI engineering team
  • Develop and execute team roadmap
Good to have:
  • Master's degree or PhD in Computer Science
  • Experience with Large Language Models (LLM)

Job Details

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).
  • 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 working with Machine Learning, including modeling, training and evaluating models.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • Experience with Large Language Model (LLM).

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.

CorpEng Machine Learning team is responsible for applying Artificial Intelligence/Machine Learning techniques to Google's own enterprise tests in the most responsible manner. The team works with research as well as enterprise teams to identify opportunities for Artificial Intelligence incorporation and application.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

  • Guide and manage applied AI engineering team.
  • Partner with product management and other engineering teams to develop the team's roadmap and execute on deliverables.
  • Direct global and regional AI initiatives in service of mission business problems in various Google Enterprise domains such as Legal, People Operations, Finance, etc.

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