Deep Learning Speech Researcher

About The Company

We’re taking Generative Voice AI to a new level. Creatives of all kinds rely on Resemble’s immersive voice engine to rapidly accelerate the development of new voice-centric experiences without losing the flexibility and humanness of speech.

Resemble AI supercharges your synthetic voice with a text-to-speech generator paired with real-time APIs to build immersive experiences. Use cases include, advertisements, games, virtual assistants, call centers and more.

About The Role

As a Deep Learning Researcher, you will play a vital role in our research and development efforts. You will be part of a dynamic team focused on pushing the boundaries of voice technology, leveraging PyTorch and other cutting-edge tools. This position offers exciting opportunities to make a significant impact and contribute to groundbreaking advancements in the field. What you'll do

• This is an individual contributor role with significant impact both within the machine learning team and on the product team(s) you will collaborate with
• You will be responsible for technical roadmaps and will collaborate with Product Management, Data Science, Product Engineering, and Design to shape the overall product roadmap
• You will conceive and lead projects while being a hands-on builder of machine learning software components
• You will be a strategic thought partner for leaders across the organization on driving business impact through machine learning
• You will coach and mentor the next generation of strong engineers on the team
  
  

Responsibilities

• Conduct cutting-edge research in deep learning techniques for voice AI, with a focus on GANs, LLMs, and Diffusion Modelling.
• Design and implement state-of-the-art deep learning models using PyTorch, with a specific emphasis on voice synthesis and manipulation.
• Collaborate closely with cross-functional teams to develop innovative solutions and enhance our voice-centric products.
• Stay up-to-date with the latest advancements in deep learning, voice AI, and related fields, integrating them into our research and development processes.
• Analyze and interpret data to derive meaningful insights and optimize the performance of voice models.
• Author research papers and actively participate in relevant conferences and workshops.
  
  

Requirements

• Strong expertise in deep learning techniques, including GANs, LLMs, and Diffusion Modelling.
• Extensive hands-on experience in developing and training deep learning models using PyTorch.
• Solid understanding of machine learning fundamentals, including neural networks, recurrent neural networks (RNNs), and convolutional neural networks (CNNs).
• Proficient in Python programming and familiarity with relevant libraries and frameworks.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
  
  

Preferred Qualifications

• Degree in computer science, engineering, or a related field, with a focus on deep learning or voice AI.
• Demonstrated expertise in natural language processing (NLP) and voice synthesis.
• Familiarity with other deep learning frameworks (e.g., TensorFlow, Keras).
• Published research papers or active participation in conferences and workshops related to voice AI and deep learning.
• Experience with cloud computing platforms and distributed systems.