🚀 Engineering Manager, AI Data Generation

Overview

Engineering Manager, AI Data Generation at Google

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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.

AI Data Generation Team (AI DGiT)'s charter is to generate Generative AI (GenAI) data and evaluations for Google. Our team has been instrumental in performing LLM/GenAI model evaluations and model fine-tuning (e.g., using reinforcement learning from human feedback (RLHF) techniques). CrowdCompute is a large-scale general purpose platform that collects upwards of five million human answers a day on behalf of teams across Alphabet. DataGen is our evolving self-service data generation platform that enables a typical AI product developer to produce verifiable high-quality data-sets through automatable workflows with integrations into pre-training, post-training and evaluations infrastructure.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Salary: The US base salary range for this full-time position is $197,000-$291,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Individual pay is determined by work location and other factors. Your recruiter can share more about the specific salary range for your location during the hiring process. Compensation details listed in US role postings reflect the base salary only and do not include bonus, equity, or benefits.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Responsibilities

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
• Learn novel GenAI use cases in depth for data needs and identify solutions leveraging the AI Data Platform.
• Develop mid-term technical goals and roadmap within the scope of your team. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Deliver and launch tools/solutions to collect, verify and deliver data/evaluations for GenAI use cases, including evaluation and improvement of generative AI models.
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, code quality, testing, and efficiency).

Minimum qualifications

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience with full stack development, across back-end (Java, Python, Golang, or C++ codebases) and front-end (JavaScript or TypeScript, HTML, CSS or equivalent).
• 3 years of experience in a technical leadership role overseeing projects.
• 2 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.
• 8 years of experience in software development.
• 5 years of experience building and developing large-scale infrastructure.
• 3 years of experience working in a structured organization.
• Experience in distributed systems or networks, or with compute technologies, storage, or hardware architecture.

Job details

Seniority level: Not Applicable

Employment type: Full-time

Job function: Information Technology and Engineering

Industries: Information Services and Technology, Information and Internet

Locations: Fremont, CA

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