The future of communication should be bias and barrier-free. That's the vision behind this well-funded start-up pioneering real-time speech algorithms.
You’ll join a research team on tech that is the first of its kind, improving how we communicate in the real world. By offering clear, natural-sounding conversations regardless of accent or environment. Their ground-breaking technology is already providing impressive results, so it’s no wonder they’re growing x4 annually.
They are creating the whitespace in speech research, and you’ll play a key role.
As their Lead Applied ML Scientist, you’ll manage a small but mighty R&D team advancing core speech algorithms and audio AI models.
The Role
- Lead cutting-edge R&D advancing core speech algorithms and Generative Audio models. Continually push boundaries to the next level.
- Tackle unsolved problems in Generative Speech and Audio such as preserving naturalness and performance in noisy environments.
- End-to-end ownership of models, from data collection to training on the cloud.
- Develop novel architectures balancing cutting-edge performance with real-time efficiency & low-latency
You'll Have
- 4+ years of industry experience developing and implementing either of the following: Text-to-Speech (TTS), Voice Conversion/Cloning, Speech Synthesis, Speech Translation, Accent Translation, Speech Restoration
- Degree in Computer Science, ML, or related field. PhD is nice to have.
- Proven experience with PyTorch, TensorFlow and modern DL techniques such as GANs, VAEs, diffusion or flow models, etc.
- Familiar with cloud-based technologies and production environments
- You'll have experience managing a small team, including people management (resource management, performance reviews etc)
What you’ll get in return
- A negotiable and genuinely open package for the right candidate, we're looking for the best people who want to work in an environment of freedom and autonomy.
- Benefits include a competitive salary (up to $400k depending on experience), unlimited PTO, and a bonus based on performance that can be taken as equity or cash. You'll also get share options, health coverage, and a VPO plan.
- Contributing to whitespace in speech technology research, you'll have control over the direction of your work. You’re the expert after all.
This is a hybrid role in the Bay area, so you'll need to be based here, or willing to relocate.
Finally, if you’re looking to make an impact, there are few better places to do it. Your work here has the power to improve communication, eliminate confusion, and create a more connected world.
If you want the freedom to shape the future of speech AI, apply now.
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