Senior Data Scientist for Search Ads Innovation

3 weeks ago


San Jose, California, United States Hireio, Inc. Full time
About Us

Hireio, Inc. is a global leader in digital advertising solutions.

Salary and Benefits

We offer a competitive monthly salary range of 16-29K USD, including additional benefits such as bonuses, RSUs, and potential sign-on bonuses.

Job Description

As a Senior Machine Learning Engineer on our Search Ads team, you will work on developing machine learning models for ads relevance, NLP for query understanding, and optimizing ad delivery at scale.

You will be responsible for:

  • Developing ads relevance models and ranking algorithms for search ads optimization.
  • Implementing NLP technologies for query understanding, including semantic matching and bidword optimization.
  • Working on enhancing CTR/CVR model accuracy through data analysis and feature engineering.
  • Optimizing ads pacing algorithms and control traffic for improved ad performance.
  • Collaborating with product teams to define ad features and strategies.

This role requires expertise in NLP, Deep Learning, Ranking systems, or Recommendation systems, along with experience with search ads technologies and proficiency in Python, C++, or Go.

Requirements

To be successful in this position, you should have:

  • 5+ years of experience in Machine Learning, Search Ads, or related fields.
  • Expertise in one or more areas: NLP, Deep Learning, Ranking systems, or Recommendation systems.
  • Experience with search ads technologies, including ad relevance models and monetization products.
  • Proficiency in one or more programming languages: Python, C++, or Go.
  • A degree in Computer Science, Engineering, or a related field.
Why Work with Us?

At Hireio, Inc., we value innovation, growth, and creativity. Our company culture encourages engineers to work on cutting-edge technologies and provides opportunities for personal and professional development. We offer a relaxed yet highly productive work environment, where individual autonomy is encouraged.



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