Machine Learning Engineer
1 week ago
As a Machine Learning Engineer on the Starline audio team at Google, you will play a key role in shaping the future of immersive audio experiences. You will be responsible for training, evaluating, and optimizing AudioLM-based models that push the boundaries of speech enhancement and sound separation.
Responsibilities- Train and fine-tune AudioLM-based models for speech enhancement, sound separation, classification, and remixing.
- Optimize model inference for real-time, low-latency performance on both CPU and GPU platforms.
- Design and implement data processing pipelines to prepare and augment training data.
- Work with research scientists, audio engineers, and software developers to integrate models into the Starline system and launch audio features.
- Contribute to the development and maintenance of the audio infrastructure in C++, ensuring scalability, reliability, and efficiency.
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.
What We OfferWe 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. As a Machine Learning Engineer on the Starline audio team, you will have the opportunity to 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.
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