Senior Machine Learning Engineer, adMarketplace

• PhD with 5+ years of experience or MS with 5-8+ years of industry experience in AI/ML, developing and deploying production-level ML systems
• Proven expertise in building AI/ML models in at least one of the following domains: Ads, relevance, ranking, recommendation systems, and search
• Breadth and depth knowledge of statistical learning, machine learning, and deep learning
• Experience in building distributed, low-latency, high-throughput batch and online ML services
• Hands-on experience in deploying and maintaining ML pipelines in production, including feature engineering and model monitoring frameworks
• Fluency in Python and proficiency with distributed frameworks (Spark, Hadoop), SQL, and cloud infrastructure
• Experience with ML packages such as Tensorflow or PyTorch, scikit-learn, and Spark ML
• Ability to operate efficiently in a high-paced, multi-functional, and rapidly evolving environment

Desirable

• We are seeking an experienced AI/ML generalist who is passionate about building products in the search and ad technology ecosystem
• As part of our well established AI/ML and Search organization, you will play a crucial role in optimizing our ad serving platform and consumer facing search products
• You will have a clear career progression path and numerous opportunities for both personal and professional growth in an intellectually stimulating and dynamic work environment
• Manage the entire process of AI/ML projects and solutions, from concept development to data acquisition, prototyping, model development, and deploying the model in production
• Create and implement procedures and tools to track and evaluate the performance and accuracy of models and data
• Provide thought leadership, subject matter expertise and serve as trusted advisor in machine learning, deep learning, and other state of the art AI techniques
• Experience in contributing to high quality software at scale in a low latency environment
• Translate research papers into high-quality, production-ready code
• Take responsibility and ownership of features and drive key model architectural decisions
• Communicate effectively, collaborate, and build long-term relationships across the organization
• Mentor junior team members in achieving engineering excellence and be a change agent on the team