AI/Machine Learning Engineer

Veritone is seeking an AI/Machine Learning Engineer to design, build, and deploy models powering our aiWARE platform. You'll develop end-to-end ML solutions for audio, video, and other unstructured data, supporting customers across media, legal, government, and enterprise sectors. Responsibilities include data preparation, model experimentation, evaluation, and optimization, as well as integrating models into scalable cloud architectures. You'll collaborate with product, data, and engineering teams in a fast-moving, innovative culture focused on real-world impact and AI-driven customer value.

Responsibilities

• Design, train, and optimize machine learning models for audio, video, and unstructured data use cases.
• Prepare and process large datasets, including data cleaning, labeling, and feature engineering.
• Deploy and maintain ML models in scalable cloud environments using MLOps best practices.
• Collaborate with product, data, and engineering teams to translate requirements into technical solutions.
• Monitor model performance and iterate to improve accuracy, robustness, and efficiency.
• Contribute to architecture decisions and best practices for AI services within the ai
• WARE platform.

Required Skills

• Python
• Machine learning algorithms
• Deep learning frameworks (Tensor
• Flow/Py
• Torch)
• Data preprocessing and feature engineering
• Model training, evaluation, and optimization
• MLOps and model deployment (Docker, CI/CD)
• Cloud platforms (AWS/Azure/GCP)
• SQL and No
• SQL databases
• REST APIs and microservices
• Version control (Git)