Hyperconnect's AI Lab is seeking a Senior Machine Learning Engineer to join their innovative team focused on connecting people through AI-powered services. The role involves working on cutting-edge ML problems in video, audio, natural language processing, and recommendation systems. You'll be part of a team that develops and deploys models for both mobile and cloud environments, contributing to products like Azar.
The position offers unique challenges in content understanding, real-time inference, and large-scale model deployment. You'll work with state-of-the-art infrastructure, including a cluster of DGX-A100 GPUs, and have opportunities to publish research at top conferences like ICCV, EMNLP, and CVPR.
As a Senior ML Engineer, you'll tackle complex problems including model optimization for mobile devices, domain adaptation, multi-modal learning, and real-time anomaly detection. The role requires both research expertise and practical engineering skills to transform academic concepts into production-ready solutions.
You'll collaborate with cross-functional teams, contribute to the company's research publications, and help build AI flywheels for continuous model improvement. The position offers exposure to real-world ML challenges and the opportunity to work on projects that directly impact millions of users worldwide.
The ideal candidate combines strong theoretical knowledge with practical experience in deploying ML systems, has excellent communication skills, and can mentor other team members. This role is perfect for someone passionate about applying cutting-edge AI research to solve real-world problems at scale.