Senior Software Engineer, Text To Speech

Google•Apply•Published 8 days ago•First seen 8 days ago

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.

Cloud AI Speech Evaluation and Quality team is the assurance function responsible for the reliability, performance, and market readiness of the company's Speech-to-Text (STT) and Text-to-Speech (TTS) product portfolio, with a specific focus on Chirp 3, Gemini, and next-generation streaming models.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Responsibilities

Evaluate Speech-to-Text and Text-to-Speech evaluation pipelines development.
Design and launch experiments, including human evaluations, and autoraters to build scorecards for systems.
Triage customer issues related to model behavior and identifying solutions. Understand how the models and surrounding systems work in order to unblock customers.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with one or more of the following speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), or specialization in another ML field.

Preferred qualifications:

3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Knowledge of coding in Python and C++.