Staff Machine Learning Engineer

What you'll do

• Design, develop, and deploy semantic matching, retrieval, and multi-objective ranking models for multimodal content.
• Build representation learning systems using LLMs, vision-language models, and embedding models to improve content understanding.
• Develop scalable retrieval and ranking architectures for search, recommendation, and agentic workflows.
• Train, fine-tune, and optimize machine learning models using large-scale behavioral, content, and synthetic datasets.
• Build evaluation frameworks and benchmarks to measure ranking quality and retrieval effectiveness.
• Translate innovative research from Adobe Research into production-ready capabilities.
• Manage the end-to-end ML lifecycle including data preparation, deployment, monitoring, and continuous improvement.

What we're looking for

• Experience building and deploying machine learning systems in production environments.
• Experience developing retrieval, recommendation, ranking, search relevance, or semantic matching systems at scale.
• Deep understanding of representation learning, metric learning, transformer architectures, and multi-objective optimization.
• Experience with LLMs, embedding models, vision-language models, or other multimodal foundation models.
• Proficiency in Python and experience building scalable ML services and infrastructure.
• Experience with frameworks such as PyTorch, TensorFlow, JAX, Hugging Face, Ray, or Spark.
• Experience designing and analyzing offline/online evaluations, including A/B testing and relevance metrics.
• MS or PhD in Computer Science, Machine Learning, AI, Information Retrieval, or a related field (or equivalent experience).