AI/Machine Learning Engineer

Veritone is seeking an AI/Machine Learning Engineer to design, build, and deploy models on our aiWARE platform, powering solutions across media, legal, government, and enterprise customers. You will work with large-scale audio, video, and unstructured data to develop and optimize ML pipelines, from data ingestion and feature engineering to training, evaluation, and production deployment. Collaborate closely with cross-functional teams to translate customer and product requirements into scalable AI services, ensure model reliability, and continuously improve performance in a fast-moving, cloud-native environment.

Responsibilities

• Design, train, and deploy machine learning models for audio, video, and unstructured data on ai
• WAREBuild and maintain scalable ML pipelines including data ingestion, preprocessing, and feature engineering
• Collaborate with product, engineering, and customer teams to translate requirements into AI solutions
• Integrate models into cloud-native applications and APIs for production use
• Monitor, evaluate, and improve model performance, reliability, and scalability
• Implement MLOps best practices for CI/CD, testing, and automated deployment of models

Required Skills

• Python
• Machine learning algorithms
• Deep learning frameworks (Tensor
• Flow or Py
• Torch)
• Data preprocessing and feature engineering
• Model deployment (MLOps)
• Cloud platforms (AWS, Azure, or GCP)
• API development and integration
• SQL and No
• SQL databases
• Version control (Git)
• Model monitoring and performance optimization