Applied Researcher
Core
Develop machine learning models and algorithms to guide advertisers optimally, analyze large datasets for business insights, and drive data-informed decisions to enhance ad performance.
Role type
Applied Researcher (ML & Data Analysis)
Builds
End-to-end ML and data-driven advertising systems for ad serving and advertiser-side optimization
Domain
Ecommerce advertising, machine learning, data analysis
Deliverable
production ML models
Required skills
Machine learning model design and deployment, large-scale data analysis, data mining and segmentation, SQL, Python or Scala programming, expertise in ML frameworks (PyTorch/Huggingface/Ray/vLLM), big data technologies (Hadoop/Spark)
Preferred skills
Experience in advertising industry, search, recommender systems, or NLP
Technologies
PyTorch, Huggingface, Ray, vLLM, Hadoop, Spark, SQL
Responsibilities
Design, implement, validate, and deploy ML models for advertising applications; analyze production data to identify opportunities and trends; collaborate with product managers and engineers to integrate ML insights; publish research findings and attend conferences; mentor junior researchers and data analysts
Seniority
Senior, hands-on IC
