Requirements:

Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.
Experience: 5+ years of experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.
Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).
Analytical Skills: Outstanding ability to analyze large datasets, identify trends, and derive actionable insights. Expertise in data mining and segmentation. SQL is a must.
Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.

What you will be doing:

Machine Learning Development: Design, implement, validate and deploy machine learning models tailored to advertising applications. Focus on developing systems that provide actionable guidance to advertisers, optimizing ad performance and engagement.
Data Understanding: Analyze large volume of production data to produce business insights and identify potential opportunities for ML solutions.
Cross-functional Collaboration: Work closely with product managers, engineers, and other researchers to integrate machine learning insights into our advertising products. Ensure that our advertiser guidance systems are aligned with user needs and business goals.
Innovation and Research: Stay abreast of the latest developments in machine learning and advertising technologies. Chip in to internal and external research communities by publishing findings, attending conferences, and participating in collaborative projects.
Technical Mentoring: Guide junior researchers and data analysts. Share knowledge and standard methodologies in machine learning and data analysis to uplift the team's capabilities.