XR Audio Face Tracking ML Software Engineer
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XR Audio Face Tracking ML Software Engineer
Location
Zürich, Switzerland
Experience
Senior
Posted
Jul 18, 2026
Apply by
August 17, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
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. 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.
Key Responsibilities
- Research and develop algorithms and models for tracking and synthesizing facial motion from multimodal inputs.
- Collaborate 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 algorithm and model design.
- Work alongside software engineers and research scientists to deliver production-ready models and pipelines.
Requirements
- Bachelor's degree in Computer Science
- Bachelor's degree in a similar technical field of study
- Equivalent practical experience
Skills Required
PythonMachine LearningDeep LearningLeadershipCollaborationProblem solvingJAXLiteRTPolygonal mesh representationsSkeletal animation pipelines
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