Job Description

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.