Principal Applied Scientist

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
If this sounds like the next step you want to take on your career path, we are looking forward to seeing your CV at
[email protected]