Deep Learning Engineer

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

• Bachelors 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.