Seamless cross-lingual communication is the next big frontier. This well-funded AI startup is pioneering speech-to-speech translation to break down language barriers.
You'll join an elite team developing cutting-edge algorithms to enable fluent conversations no matter the language. 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 a Lead Applied ML Scientist, you’ll manage a small but strong R&D team of experts in this field.
The role:
- Lead cutting-edge R&D advancing core speech algorithms, cross-lingual processing 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.
- Own the full model lifecycle from data to cloud deployment
- Develop novel architectures balancing cutting-edge performance with real-time efficiency & low-latency
- Lead a team of top scientists in this field
You'll have:
- 4+ years of industry experience developing and implementing speech-to-speech language translation models or similar
- Proven background contributing to well-known research publications and/or products in these areas
- MS/PhD in CS, ML or a relevant technical field
- Proven skills in PyTorch, TensorFlow, GANs, diffusion models, and modern DL
- Familiarity with cloud tech and production environments
What you’ll get in return:
- Highly competitive pay package (up to $500K+ depending on experience)
- Stock, Unlimited PTO, and other benefits
- Autonomy to lead pioneering research redefining cross-lingual AI
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.
Location: | Bay Area |
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Job type: | Permanent |
Emp type: | Full-time |
Salary type: | Annual |
Salary: | negotiable |
Job published: | 23/05/2024 |
Job ID: | 32254 |