Senior Staff Software Engineer - Machine Learning

Staff Software Engineer, Machine Learning, Play Games

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in Machine Learning, Multimodal Machine Learning, Large Language Model, Machine Learning Infrastructure.

Preferred qualifications:

• 5 years of experience in machine learning focusing on LLM and GenAI.
• Experience with modern deep learning architectures and frameworks including understanding of machine learning fundamentals.
• Knowledge of Google’s Infrastructure technologies and tools.
• Proven track record of architecting and launching ML systems that operate at a scale.
• Passion for mobile gaming.
• Strong collaboration and communication skills, with the ability to influence cross-functional leaders, and work effectively across different teams to drive adoption of AI-first practice.

About the job

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.

Play Games offers cross-game identity and profile, access to titles, achievements, leaderboards, and rewards. We are five hundred million Monthly Active Users (MAU) products and are integrated into the biggest mobile games on Android. Play Games Services is a component of a renewed focus on Play as a gaming platform.

Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.

Responsibilities

• Define the goal and technical strategy for applying Machine learning technologies especially multimodal and advanced models like Large Language Models (LLMs) to create and scale high-impact, AI-assisted in-game experiences that drive growth and engagement.
• Drive the end-to-end research process, from defining problems, scoping, prototyping solutions, publishing results, and partnering with product teams to ship AI-enabled features.
• Apply domain expertise to build and deploy new advances in multimodal understanding and generative AI. Build Cross-Product Area collaboration with Google Deepmind (GDM) to bring model applications for our use cases.
• Define the infrastructure for computing and serving quality signals. Define, establish, and track key performance indicators and metrics to evaluate and iterate on the quality of our ML systems.
• Work with Area Technical Leads, Technical leads and other engineers in cross-functional teams and help align the AI evolution.

Experience Level

Senior Level