Machine Learning Engineer

What you'll work on

• Designing, training, evaluating, and optimizing machine learning models for speech and language processing tasks. Developing scalable ML pipelines for large-scale data processing and model deployment.
• Handling, curating, and synthesizing training and testing data while automating pipelines for efficient data processing. Implementing advanced evaluation frameworks for translation scenarios, including streaming speech-to-text and speech-to-speech translation.
• Working with advanced speech synthesis systems, customizing and integrating them into existing systems to enhance performance and user experience. Collaborating with researchers and engineers to integrate models into production environments.
• Experimenting with new techniques in deep learning, LLM fine-tuning, and model alignment to drive innovation and improve system capabilities. Analyzing model performance to identify areas for continuous improvement.
• Contributing to research initiatives through prototyping, experimentation, and publishing where applicable. Maintaining high standards of code quality, reproducibility, and technical documentation.
• Engaging in cross-functional projects with global teams to deliver innovative AI solutions to market. Supporting collaboration and knowledge sharing across research and engineering teams.
• Ensuring systems and processes align with organizational goals for scalability, efficiency, and innovation. Continuously refining methods to enhance model accuracy and deployment efficiency.