XR Audio Face Tracking ML Software Engineer
Indexed description
- Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience.
- 5 years of experience programming in Python.
- 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++ .
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. In this role, you will be building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
For decades, the computing revolution has reshaped our world driven by
breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where
lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
Responsibilities
- Research and develop 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.
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