Multi-modal Machine Learning Engineer (all levels) - Trust and Safety

What you'll do

• Lead and build content-understanding models for content moderation, including unimodal and multimodal classifiers, graph models, representation learning models, and LLMs.
• Partner with product and data science teams to define objectives, address safety challenges, and develop data-driven strategies.
• Work with engineering teams to deploy models and design online workflows and serving pipelines at scale.

What they ask for

• BS/MS in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics, or a similar quantitative field.
• Hands-on experience in one or more areas: machine learning (CV/NLP/Multimodal/Graph/LLM), statistical models, or applied mathematical methods.
• Strong coding skills, especially in Python and similar languages.
• Curiosity toward new technologies and entrepreneurship, and good communication and teamwork skills.

Nice to have

• Ph.D. in LLM, VLM, or equivalent experience; background in LLM, multimodal modeling, representation learning, or AI/ML conference publications.
• Understanding of content understanding and moderation business value; experience developing online ML systems, including ranking or retrieval.

Tools

Python, CV, NLP, Multimodal, Graph, LLM, VLM

AI focus

Develop content-understanding and moderation models, including multimodal methods and LLMs, and deploy them in online systems at scale.