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.
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.
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 .
