Senior Machine Learning Engineer, Matching

What you'll do

• Develop and implement machine learning algorithms for the ad retrieval system.
• Write production-quality code to generate personalized recommendations for users.
• Own the end-to-end ideation, development, testing, and productization of new algorithms.
• Perform large-scale and complex experiments to measure the impact of new features.
• Lead the development of advanced techniques to improve the ad network's performance.
• Formulate approaches for greenfield product opportunities while adhering to privacy principles.
• Prioritize an innovation roadmap across multiple technical domains with business leadership.
• Present research findings and technical solutions to cross-functional organizational partners.

What we're looking for

• 4+ years of experience building machine learning capabilities across many different product areas at scale.
• Proven experience in NLP, information retrieval, and search.
• Ability to apply and implement research concepts into production quality code.
• Experience defining clear, testable research hypotheses with intended business impact.
• Deep understanding of design of experiments and online experimentation approaches, preferably at scale (preferred).
• Experience contributing to or reviewing research for top conferences and publications.
• Master's degree or equivalent experience in NLP, Machine Learning, Statistics, Forecasting, Optimization, Reinforcement Learning, or a related field.
• PhD or equivalent experience in NLP, Machine Learning, Deep Learning, Large Language Models, or Reinforcement Learning (preferred).