Overview
Kits.AI, an industry-leading AI audio platform for music creators, is seeking a Lead Machine Learning Researcher to join our innovative team. This role is pivotal in driving groundbreaking advancements in generative audio technologies.
What You Will Do
- Lead Research Initiatives: Spearhead strategy and cutting-edge research and development in generative audio. Identify and integrate new technologies and techniques to enhance the quality and speed of our core speech-to-speech architecture.
- Innovate and Implement: Explore and implement state-of-the-art technologies to enhance existing products and explore new audio capabilities including AI mastering, mixing, stem separation, and noise detection and removal.
- Team Leadership: Lead the growth and development of the ML Research team, working directly with the CEO & CTO to guide the future of the product.
Who You Are
- Experienced Leader: You bring 4+ years of experience leading impactful ML research for speech synthesis, speech-to-speech, TTS, voice conversion, or related speech/audio domains.
- Skilled in Advanced Technologies: You have extensive hands-on expertise with state-of-the-art models & techniques for speech and audio synthesis such as VITS, self-supervised models like ContentVec/Hubert, etc.
- Effective Communicator: Ability to work efficiently in a fast-paced, remote environment with excellent communication skills.
Why Join Us?
- Competitive Compensation: We offer a salary range of $130,000 to $200,000 depending on experience and location, along with stock options.
- Remote Flexibility: Fully remote position requiring availability during the hours of 9am-1pm PST for team overlap.
- Global Team Offsites: Annual team offsites to exciting global destinations, fostering team building and innovation.
This is a rare chance to drive cutting-edge research in a dynamic start-up setting. If you are passionate about music and AI, and ready to lead in a high-growth environment, we'd love to hear from you!
Benefits Extracted with AI
- Competitive salary
- Stock options
- Fully remote work
- Annual team offsites
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