Machine Learning Engineer at Beatdapp

Elevate your career with Beatdapp as a Machine Learning Engineer II focused on inference platforms. Build and optimize systems that deliver accurate audio signals for music, podcasts, and AI-generated content. In this pivotal role, you will blend ML engineering with infrastructure work to bridge raw audio and detection models.

Collaborate with data scientists to ensure production readiness, focusing on latency, cost, and user impact from the outset. Design and optimize inference systems across multi-cloud environments, ensuring efficient resource utilization. Key Responsibilities: • Build and tune inference containers for scale • Optimize GPU performance and resource management • Conduct scale and stress testing across deployments • Operate Terraform stack for multi-cloud infrastructure • Extend customer-facing API for our inference service Requirements: • STEM degree with 3+ years in ML or data engineering • Proficient in Python and performance-oriented languages • Experience with distributed systems and data stores • Solid understanding of cloud infrastructure and networking • Skilled in CI/CD practices and observability metrics Bring your engineering expertise and passion for ML to optimize audio integrity solutions at Beatdapp. #J-18808-Ljbffr