Applied ML Engineer

A company is looking for an Applied ML Engineer, Data. Key Responsibilities Build and maintain data pipelines for large video generation models, including data ingestion and preprocessing Design and run annotation workflows across various platforms, ensuring quality control and label validation Partner with research and engineering teams to develop scalable systems for model training and evaluation Required Qualifications 3+ years of experience in machine learning, data pipelines, or related engineering roles Strong programming skills in Python with experience in building data processing pipelines Hands-on experience in preparing training data for ML models and managing large-scale data Familiarity with Kubernetes for orchestrating distributed workloads and cloud environments Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related field