Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in Python or Java/Kotlin.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Experience in machine learning, audio processing and perception.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- Experience working on establishing a scalable process for data and evaluation.
- Experience with data analytics, logging, or experiment frameworks.
- Experience communicating with client and platform teams.
About the jobSmart wearable glasses with AR and AI experiences strive to provide a natural voice-based interaction, allowing users to effortlessly activate and engage with different applications like Gemini or translation. Our team focuses on leveraging the audio captured by multiple microphones on these devices and building on-device deep learning technology to enhance both the user's speech and the speech of people the user is having conversation with. The effectiveness of our technology is paramount to successful audio enhancement and understanding. Our technology targets to filter out noise, irrelevant speech, and echo from the speakers and interpret the rich context from the audio to guarantee users and their surroundings are clearly understood.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Learn a full audio stack of smart wearable devices.
- Develop speech enhancement and sound understanding algorithms that are effective at the task, and practical to launch in production (on device).
- Evaluate and analyze the performance of our systems, both at the quantitative and qualitative levels, to identify their limitations and avenues for improvement.
- Experiment and iterate on the data solution, ML modeling architecture and training strategy to reach quality goals.
- Acquire data that can be used to train and validate a model to solve these tasks.
