Applied ML Engineer

Job Summary

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