Data Engineer, Flawless AI

• Bachelor's degree in computer science, machine learning, computer vision, or a related field
• 2+ years of experience preparing large datasets for deep learning and neural network models
• 2+ years of experience writing and testing modularized, production-level Python code
• Experience with deep learning frameworks such as PyTorch, Tensorflow, Keras, or MXNET
• Experience building scalable ML pipelines for image and video modalities with tools such as Flyte, Prefect, AirFlow, or Kubeflow
• Experience with data collection, labeling, cleaning, and generation with tools such as LabelBox, SuperAnnotate, Scale Ai, or V7

Desirable

• The data team is responsible for sourcing, annotating, curating, and deploying large multi-modal datasets within the film media domain
• The data team works with core and applied ML, lighting, staging, engineering, and film innovation teams to understand data requirements and deliver high-quality datasets that power next-generation AI models
• The team is also responsible for data versioning, data DevOps, and persistent storage
• Our work in automated visual translation is just the beginning, we’re developing countless exciting products based on the application of our proprietary, cornerstone research