ML Engineer for Audio at Beatdapp

Transform audio experiences as a Machine Learning Engineer II at Beatdapp, focusing on inference systems for music and speech. Lead projects that leverage cutting-edge technologies for streaming integrity. In this role, you will tackle challenges at the intersection of machine learning and audio processing, collaborating closely with data scientists to bring models into production.

Your expertise in cloud infrastructure and inference optimization will drive the development of high-performance systems designed to operate under real-world conditions. Key Responsibilities: • Build and optimize inference containers for audio processing • Conduct resource optimization for high-efficiency GPU tasks • Develop stress tests reflective of actual usage • Implement and maintain multi-cloud Terraform infrastructure • Create and enhance the API for end-user interactions Requirements: • Related STEM degree with 3+ years in ML or data engineering • Strong coding skills in Python and related languages • Knowledge of architecture for distributed systems • Deep understanding of cloud environments, especially AWS or GCP • Familiarity with CI/CD and observability best practices Bring your ML expertise to Beatdapp and contribute to revolutionizing audio integrity technology. #J-18808-Ljbffr