About the role:

We are looking for experienced Deep Learning Engineers to expand our core team. The problems revolve around novel research on zero-shot solutions in automatic speech recognition, speech synthesis, prosody transfer, voice cloning, lip-sync to unseen faces, etc. You will get to own the core Gan Studio algorithms for these problems, and scale them for real world use cases.

What you'll work on:

• Designing, implementing, evaluating, deploying and iterating on speech synthesis models across languages and domains.
• Researching and reproducing cutting-edge progress in Speech Synthesis, NLP and ML in academia and industry by staying abreast with new publications, conferences, and product applications.

Minimum Qualifications:

• Bachelor's Degree in Computer Science or related field.
• Ability to generate and execute on research ideas.
• At least 2 Years of Experience with Deep Learning Framework (PyTorch preferred).

Preferred Qualifications:

• Masters / Ph.D. in computer science or a related field.
• Strong Publication Record at top tier Deep Learning and Artificial Intelligence conferences.
• Experience with Speech Processing.

Why should you join us?

• Working very closely with the founding team, you also have the chance to influence and drive the direction of the company significantly.
• Starting with coding/engineering solutions, you’ll have the opportunity to grow with the team and lead it.