Staff Machine Learning Engineer, Ads Signals Intelligence & Information Retrieval

What you'll do

• Design and scale ML systems to extract semantic signals from structured and unstructured content.
• Develop retrieval and ranking pipelines using query understanding, semantic embedding, and indexing techniques.
• Fine-tune Large Language Models for NLP tasks like content labeling, rewriting, and similarity.
• Construct knowledge graphs and entity linking systems to enrich creative and query signals.
• Build multimodal representation models combining text, image, and metadata signals.
• Develop core components for content understanding including entity extraction, topic modeling, and taxonomy generation.
• Manage experimentation, offline evaluation, and online validation of signal pipelines at massive scale.

What we're looking for

• Bachelor's degree in Computer Science, Machine Learning, Information Retrieval, NLP, or a related field.
• Master's or PhD in Computer Science, Machine Learning, Information Retrieval, NLP, or a related field is preferred.
• 4+ years of experience in machine learning or applied research focusing on retrieval, ranking, NLP, or content understanding.
• 7+ years of experience in machine learning or applied research is preferred for this role.
• Deep understanding of information retrieval, semantic search, and query-document matching.
• Hands-on experience with LLM fine-tuning, knowledge graph construction, and entity-centric modeling.
• Experience working with multimodal models including text, vision, metadata, or audio-based representations.
• Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.