Design and implement machine learning systems for ad performance optimization.
Research and apply ML optimization strategies to balance multiple objectives effectively.
Analyze data and use machine learning techniques to understand user behavior and improve ad experiences.
Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.

Requirements

You have professional experience in applied machine learning.
You have strong technical expertise in software engineering, data analysis, and machine learning.
You are proficient in programming languages such as Python, Java, or Scala.
Experienced in Tensorflow or PyTorch and working with various aspects of the ML lifecycle
You have expertise in developing data pipelines using tools like Apache Beam or Spark.
As a plus, you may have experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata analysissoftware engineeringPythonJavaScalaTensorflowPyTorchdata pipelinesApache Beam