Senior Software Engineer, Pixel Audio

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• Experience with audio ML algorithm and pipeline design.

Preferred qualifications:

• Ph.D. in Computer Science, Electrical/Computer Engineering, or related technical field.
• Experience in AI/ML conferences on audio/speech processing. (e.g., ICML, ICLR, NeurIPS, ICASSP and Interspeech).
• Experience with mainstream ML training frameworks such as TensorFlow, JAX, and PyTorch.
• Experience in generative audio modeling including AudioLM (token based language modeling) or Diffusion models.
• Experience in ML based speech codec, source separation, audio enhancement research and development.

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.

Pixel Audio ML team develops and supports ML features across generations of Pixel devices including Phones and Tablets.

In this role, you will be responsible for algorithm development for audio use cases across Pixel. You will innovate, execute and validate audio solutions through offline simulation and real-time on-device hardware. You will interact with partner teams to innovate and design algorithms and android stacks to impact future Google audio technology roadmaps across the Pixel ecosystem. You will own ML model development, training and optimization, and contribute to model inference optimization into Android Kernel/HAL. You will design and fine tune ML models for Pixel devices, and contribute to the audio and speech algorithms development process. You will also contribute to rapid prototyping and delivery for audio features.The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Responsibilities

• Write and test product or system development code.
• Develop GenAI audio/speech features from model research to on-device inference.
• Drive the research and development of AI/ML based on-device audio/speech features.
• Deploy and scale Machine Learning (ML) solutions across Google Android platform and Pixel ecosystems.
• Collaborate with cross-functional teams (such as DeepMind and Google Silicon) for feature development and landing of audio on-device features.