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.
• Design and execute large-scale experiments to measure the impact of new features.
• Formulate technical approaches for greenfield product opportunities in the advertising space.
• Translate state-of-the-art research concepts into scalable, production-ready systems.
• Develop algorithms that adhere to strict user privacy principles.
• Collaborate with cross-functional teams to ensure the feasibility and robustness of new capabilities.
• Present technical findings and innovation roadmaps to organizational leadership.

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 related fields.
• PhD or equivalent experience in NLP, Machine Learning, Deep Learning, Large Language Model, or Reinforcement Learning (preferred).