Applied Research Scientist

AppLovin AppLovin · Media · Palo Alto, CA · Platform Engineering

Applied Research Scientist role at AppLovin, focusing on building ML/AI systems for adtech, specifically ads delivery and recommendation systems. The role involves processing large-scale data, integrating multimodal data, and running A/B tests to drive business results in a fast-paced environment.

What you'd actually do

  1. Building ads delivery systems that deliver the most relevant products to users and drive business results.
  2. Processing and handling tens of billions of rows of data per day, and processing one million requests per second.
  3. Integrating tabular, text, image, and video data into a cohesive system to improve ads delivery.
  4. Running large-scale A/B tests to measure results.

Skills

Required

  • Experience working with state of the art Machine Learning/Deep Learning models to solve hard problems.
  • Strong programming skills in Python and experience with Deep Learning frameworks (preferably PyTorch).
  • Strong mathematical skills, and the ability to understand and interpret data.
  • The drive to want to make an impact on the company you work for.

Nice to have

  • Experience working with large datasets and distributed computing frameworks.
  • Strong C++ or Java programming ability in addition to Python.
  • Prior experience working with recommendation models specifically.

What the JD emphasized

  • state of the art Machine Learning/Deep Learning models to solve hard problems
  • large datasets
  • recommendation models specifically

Other signals

  • building cutting edge technology at the intersection of machine learning and adtech
  • building one of the world’s highest-performing ads recommendation systems
  • ship meaningful improvements that move the needle
  • solve hard problems and drive meaningful business results