€150,000 - €200,000 & Fully Remote
Our client are at the forefront of innovation in generative AI, enabling creators to build transformative, voice-centered experiences. Their platform empowers users to deliver dynamic applications while maintaining the natural and human-like qualities of speech.
We’re looking for a Deep Learning Researcher (Speech) to join a forward-thinking team, driving research and development in voice AI. You’ll work with the latest tools and technologies, such as PyTorch, to push the boundaries of machine learning and voice synthesis. This role offers the opportunity to contribute to pioneering advancements and shape the future of AI-driven experiences.
Responsibilities
- Conduct advanced research in deep learning techniques, focusing on generative models, transformers, and diffusion methods.
- Design and implement sophisticated machine learning models using PyTorch, emphasizing voice synthesis and transformation.
- Collaborate with multidisciplinary teams to create novel solutions and improve AI-driven products.
- Stay informed on advancements in machine learning and voice AI, integrating new findings into projects.
- Analyze data to refine models and achieve optimal outcomes.
- Contribute to the research community through publications and conference participation.
- Expertise in machine learning techniques, including GANs, LLMs, and diffusion modeling.
- Extensive experience building and training models with PyTorch.
- Strong knowledge of machine learning fundamentals, including neural networks, RNNs, and CNNs.
- Proficiency in Python and relevant libraries.
- Analytical mindset and problem-solving skills.
- Strong communication and collaboration abilities.
- Background in computer science, engineering, or related fields with a focus on AI.
- Experience in NLP and voice-related applications.
- Familiarity with frameworks like TensorFlow or Keras.
- A record of published research or conference participation in AI.
- Knowledge of cloud computing platforms and distributed systems.