Principal Applied Scientist
Worldwide
Remote
Engineering
About the company:
Podcastle is a groundbreaking AI-driven platform that facilitates collaborative podcast creation, catering to both seasoned professionals and aspiring enthusiasts. Our mission is to make storytelling through broadcast media accessible to all by providing user-friendly yet professional-grade tools.
Our Applied AI Research team is dedicated to pioneering advancements in text-to-speech and speech enhancement systems. The Revoice feature enables users to clone their voices and utilize text-to-speech functionalities using their own voice through multiple audio recordings. Our goal is to develop a world-class customized multi-lingual voice generation model, leveraging brief speech prompts to enhance human-like expressiveness. Additionally, our Magic Dust feature empowers users to effortlessly convert low-quality podcast recordings into studio-quality outputs with a single click. We strive to achieve unparalleled studio conversion capabilities by refining our speech enhancement AI model.
About the role:
The Podcastle AI team is seeking a Principal Applied Scientist to strengthen our scientific research efforts. Your insights will be pivotal in advancing our research to a more robust and foundational stage. You will work with talented peers to develop novel algorithms and modeling techniques to advance the state-of-the-art in speech generation models.
Typical responsibilities include:
- Manage research projects, ensuring timely completion.
- Collaborate with other teams to integrate AI technologies into real-world products.
- Provide strategic guidance to AI/ML research scientists and engineers.
- Develop and implement effective research strategies.
- Establish short and long-term research agendas.
- Conduct experiments to iterate and refine machine learning models for optimal performance.
We’re looking for someone with the following skills and qualifications:
- PhD or Master’s degree specialized in Deep Learning or equivalent experience.
- 8+ years of experience building deep learning models.
- Demonstrated expertise in deep learning techniques and models, particularly in generative models.
- Track record of leading and delivering research projects in live production environments.
- Extensive familiarity with state-of-the-art deep learning techniques in the Audio Domain, including Flow matching, Diffusion, GANs, VAEs, Vocoder, and related methodologies.
- Experience in patents or publications in top-tier peer-reviewed conferences or journals.
- Excellent communication and interpersonal skills.
Why Podcastle?
- Professional development
- Flat company structure
- Pioneering mindset of innovative people around
- Competitive and dynamic salary system
- Immediate insight into the efficiency of your contributions
