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.

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 Senior Applied ML Scientist, you’ll join 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

You'll have:

• 3+ years experience driving breakthrough research in speech-to-speech language translation, machine translation similar
• 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 $400K+ 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.

Are you looking to lead impactful advancements in generative audio?

This fast-growing AI voice start-up is seeking an exceptional Senior ML Researcher to drive strategy and cutting-edge R&D for their transformative voice products.

Leveraging AI techniques, their technology empowers millions of users with powerful tools for vocal audio creation and customisation.

In this vital role, you'll provide strategic leadership and help shape the foundations for their new ML research organisation. Utilising your extensive background in speech technology, generative modelling, and audio ML, you'll spearhead advancements into new generative audio frontiers.

Your core responsibilities will include:

• Defining and providing long-term research strategy development to unlock novel generative speech and audio capabilities
• Executing the ML research roadmap to enhance existing products
• Collaborating closely with an experienced engineering team skilled at productionising ML, allowing you to focus on pioneering research
• Helping build and grow the ML Research team

You'll bring:

• 4+ years of experience leading impactful ML research for speech synthesis, speech-to-speech, TTS, voice conversion or related speech/audio domains
• Extensive hands-on expertise with state-of-the-art models & techniques for speech and audio synthesis such as Variational Temporal Autoencoders, self-supervised models like ContentVec/Hubert etc.
• Proven experience launching impactful research initiatives and strategies within the audio/speech domain.

The opportunity offers:

• Competitive salary (up to $200k depending on experience) and stock options
• Fully remote with flexible working hours
• Annual team offsites to exciting global destinations

This is a rare chance to drive cutting-edge generative audio AI research. If pushing the boundaries of voice technology excites you, apply now!

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 a 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
• Lead a team of top scientists in this field 

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
• Proven background contributing to well-known research publications and/or products in these areas
• Degree in Computer Science, ML, or related field. PhD is nice to have
• Experience managing a small team (resource management, performance reviews etc)
• 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

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 ($500k+ depending on experience). You'll also get share options, unlimited PTO health coverage, and a VPO plan.
• Contributing to whitespace in speech technology research, you'll have control over the direction of your work with no friction whatsoever. You’re the expert after all.

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.