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](https://www.resemble.ai/our-solution/) 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. Compensation:USD 140000-220000