Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
- Experience with AI Platform and Machine Learning Infrastructure establishing standards and quality metrics.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a structured organization.
- Experience in one or more of the following areas: on-device machine learning, mobile algorithms, LLM/GenAI evaluations, data collection for ML, and Android development.
- Experience in AI toolchain, evaluation metrics design, and data management techniques.
- Experience with implementing compute-heavy algorithms on mobile systems.
- Experience launching one or multiple AI/ML-powered user-facing products.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
AI Platform Empowering X (APEX) team's mission is to accelerate and ensure the quality of the Artificial Intelligence (AI) development lifecycle for Android and Pixel.
In this role, you will build the stack for scaling the organization's machine learning (ML) needs, which include data strategies, model training, and evaluation techniques, incorporating human feedback for ML quality, on-device optimization, feature development, and quality experiments.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
- Grow the local team experience and projects, mentoring team and removing bottlenecks.
- Interface with cross-functional and remote teams, engineering managers, and stakeholders to to influence cross-team priority and roadmap.
- Design tools/platforms/frameworks to enhance intelligent applications development, with focus on model evaluation, quality, and performance on Pixel and Android in a private and safe manner.
- Craft evaluation datasets, metrics, and pipelines to understand, evaluate and optimize the behavior of our models, platform and algorithms.
- Support a multitude of user-facing features that rely on the quality and performance of these algorithms, as running on compute-constrained embedded systems.
