Applied Scientist Internship - Generative Audio

“The most talked about AI company in Hollywood”

Flawless is shattering the boundaries of traditional filmmaking with its groundbreaking suite of Gen AI film editing tools. Our mission is to empower filmmakers with cutting-edge technology that allows creativity without compromise, expands storytelling possibilities, and delivers unparalleled visual and emotional experiences.

As a Applied Scientist Intern on the audio team at Flawless you will work with a close-knit, passionate group of world-class researchers, scientists and engineer to tackle some of the most challenging problems in deep learning, including automatic speech recognition, voice activity detection and generative modeling and audio synthesis of human text-to-speech (TTS) and voice conversation, and multi-language synthesis modeling.

• MS in audio synthesis, visual computing, or related fields
• Proficiency in linear algebra, signal processing and numerical optimization
• Proficient in audio and speech processing tasks
• Proficiency in deep learning techniques with applications in the audio domain including ASR, VAD or TTS (Text-to-Speech), or SST (Speech-to-Speech translation)
• Experience with audio synthesis techniques
• Proficiency in Python, PyTorch, or Tensorflow
• Proficiency in compute platforms such as GCP or AWS

• PhD in audio synthesis techniques, visual computing, or related fields
• Experience with audio problems, including applications of deep learning for denoising, speech recognition, voice activity detection, etc.
• Demonstrate industrial delivery of at-scale AI-based solutions to production, and SaaS products.
• Great coding and software architecture skills with Python (or C++).
• Excellent communication skills to communicate complex ideas, and understand requirements.

Flawless is proud to emphasize an equal opportunity, safe environment for people to do their best work. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.