Machine Learning Engineer II - Ad Forecasting

📋 Description

• Design and implement machine learning systems to predict future ad inventory, demand, and performance.
• Research and apply best practices for automation with respect to human review processes.
• Partner with multiple teams to shape and enhance shared systems and pipelines.
• Come up with creative ways to apply AI tools to develop innovative solutions.
• Collaborate with backend engineers, data scientists, data engineers, and product managers to drive solutions.

🎯 Requirements

• You have professional experience in applied machine learning.
• Strong expertise in applied ML, microservices, distributed systems, or data analysis.
• You are proficient in Python, Java, or Scala.
• You are skilled with operating in a cloud-native infrastructure.
• You have experience in developing data pipelines using Apache Beam or Spark.
• As a plus, you may have experience with adtech, categorization systems, and evaluation tools / data curation techniques.

🎁 Benefits

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays