Multi-Modal Machine Learning Engineer all levels - Trust and Safety - TikTok

Key Responsibilities

• Design, implement, and deploy multi‑modal ML models (vision, text, audio) that identify and filter harmful content at scale.
• Collaborate with data engineers and product teams to build robust data pipelines and feature extraction workflows.
• Conduct experiments, perform model evaluation, and iterate rapidly to improve detection accuracy and latency.
• Scale models to serve billions of daily requests, ensuring high availability and low inference cost.
• Stay current with cutting‑edge research in deep learning, computer vision, and NLP, and integrate relevant advances into production systems.

Requirements

• Strong programming skills in Python and experience with deep learning libraries such as PyTorch or TensorFlow.
• Hands‑on experience building and deploying multi‑modal models for vision, text, or audio data.
• Solid understanding of machine learning fundamentals, model optimization, and large‑scale inference.
• Experience with data preprocessing, feature engineering, and working with large, noisy datasets.
• Ability to work cross‑functionally, communicate technical concepts clearly, and drive projects from research to production.