Minimum qualifications:

• Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience.
• 5 years of experience programming in Python.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Applied Math, or a related field with a focus on machine learning.
• Experience with deep learning frameworks (e.g., JAX) and edge frameworks (e.g. LiteRT).
• Experience with polygonal mesh representations and skeletal animation pipelines.
• Proficiency with Python/C++ .

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Responsibilities

• Research and develop state-of-the-art algorithms and models for tracking and synthesizing facial motion from multimodal inputs.
• Work with data collection and synthesis teams to gather high-quality training data.
• Optimize models and algorithms to run on low-power XR devices in real time.
• Propose KPIs and metrics, and incorporate user feedback into the algorithm and model design.
• Be able to work alongside other software engineers and research scientists to deliver production-ready models and pipelines.