Staff Machine Learning Engineer, Consumer

What you'll do

• Lead end-to-end ML initiatives from initial ideation through production deployment and iteration.
• Architect and deploy large-scale systems for recommendation, search, and content understanding.
• Develop and optimize retrieval/ranking models, representation learning embeddings, and LLM-powered capabilities.
• Translate product goals into scalable technical solutions while shaping the long-term ML roadmap.
• Evaluate and integrate new AI research to keep the platform's machine learning ecosystem at the cutting edge.
• Establish best practices and ethical guidelines for responsible LLM development and deployment.
• Mentor and guide mid-level and senior engineers to foster a culture of technical excellence.
• Present technical findings to leadership and drive high-level decision-making regarding ML strategy.

What we're looking for

• 7+ years of experience building, deploying, and operating machine learning systems in production.
• Deep understanding of machine learning methods including classical approaches and modern deep learning like Transformers and GNNs.
• Expertise in developing and productionizing models using TensorFlow, PyTorch, or Hugging Face Transformers.
• Experience writing production-quality code in Python and Golang with a focus on testing, evaluation, and monitoring.
• Experience designing and scaling ML systems including data pipelines, feature engineering, and model training/serving.
• Excellent communication skills to translate product needs into scalable solutions and collaborate across cross-functional teams.
• A track record of driving measurable impact through applied machine learning in real-world products.
• An advanced degree in Computer Science, Machine Learning, or a related quantitative field is preferred.