Senior Software Engineer, Machine Learning, Platforms and Devices

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. 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.

Responsibilities

• Design industry-first evaluation suites and reward models using Reinforcement Learning from Human Feedback (RLHF) and gameplay telemetry to systematically quantify subjective game quality, balance, and core loop "fun," while deploying autonomous multi-agent frameworks to playtest generated code and verify physical logic before release.
• Address the spatial and interactive blind spots of standard Large Language Model (LLMs) by fine-tuning models with deep domain knowledge in three-dimension (3D) mathematics, engine architectures (e.g., Unity, Godot, Unreal), and physical reasoning (e.g., gravity, momentum, collisions), building frictionless bridges directly into real-time render loops.
• Build high-efficiency two-dimension (2D)/3D asset pipelines using fast distillation and DiT models to instantly generate sprites and rigged 3D meshes.
• Build multi-agent Artificial Intelligence (AI) frameworks to automatically playtest generated levels for physics errors, boundary bugs, and overall playability.

Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in Machine Learning or Artificial Intelligence.
• Experience with coding in data structures, algorithms and software design.

Preferred qualifications:

• 8 years of experience in software development