Tech Stack

Description

You will focus on optimizing machine learning models for ad tech to improve ad targeting performance and efficiency. You'll collaborate with cross-functional teams, enhance data pipelines and model inference, and apply cutting-edge research to drive business growth.

Requirements

• Master's or PhD in Computer Science, Math, Statistics, ML, or related field.
• Solid ML theory and practical experience with Python, TensorFlow, PyTorch, etc.
• Experience with model optimization and inference performance optimization.
• Excellent teamwork and communication skills.
• Strong willingness to learn and ability to independently discover and solve problems.

Responsibilities

• Develop and improve ML models for ad targeting, enhancing prediction accuracy and effectiveness.
• Collaborate with cross-functional teams to improve data pipelines, optimize model inference performance, and refine monitoring systems.
• Track latest ML and ad tech advancements, evaluate potential impact, and apply research to drive innovation.
• Identify optimization opportunities in ad delivery systems, design and run experiments to validate hypotheses.
• Work closely with ML engineers, data scientists, and software engineers to integrate solutions into the platform.