ML Engineer, Ad Campaign Optimization for ROI

ML Engineer, Ad Campaign Optimization for ROI

Full-Time 135000 - 165000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Develop machine learning algorithms to optimize ad performance and enhance customer experiences.
  • Company: Grammarly, a leader in marketing technology with a supportive hybrid work culture.
  • Benefits: Competitive compensation and a flexible work environment.
  • Other info: Great opportunity for growth in a fast-paced tech environment.
  • Why this job: Join a dynamic team and make a real impact on marketing campaigns through data-driven solutions.
  • Qualifications: Solid software engineering skills, expertise in Python, and experience in ad optimization.

The predicted salary is between 135000 - 165000 $ per year.

Grammarly is seeking a Machine Learning Engineer for its Marketing Technology team to drive marketing campaigns through data-driven solutions.

This role will involve developing machine learning algorithms to enhance customer experiences and optimize ad performance.

The ideal candidate should have solid software engineering fundamentals and expertise in Python.

Additionally, experience in ad optimization is essential.

Grammarly offers competitive compensation and a supportive hybrid work culture.

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ML Engineer, Ad Campaign Optimization for ROI employer: Grammarly

Grammarly is an exceptional employer that champions innovation and collaboration in a hybrid work environment, allowing Growth-Focused Machine Learning Engineers to thrive. With a strong emphasis on employee growth, you will have access to unique opportunities for professional development and in-person teamwork at our hubs, fostering a vibrant and supportive culture. Join us to make a meaningful impact on marketing performance while working alongside passionate individuals who share your commitment to excellence.

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Contact Details:

Grammarly Recruitment Team

We think you need these skills to ace ML Engineer, Ad Campaign Optimization for ROI

Machine Learning Algorithms
Data-Driven Solutions
Ad Optimization
Software Engineering Fundamentals
Python
Customer Experience Enhancement
Performance Optimization