Senior Machine Learning Engineer for Search Ads Optimization

1 month ago


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

About the Opportunity

We are seeking a skilled Senior Machine Learning Engineer to join our Search Ads team at Hireio, Inc. This role offers a unique chance to shape the future of search monetization systems and work on cutting-edge technologies in ads, machine learning, NLP, ranking, and more.

Job Responsibilities

  • Develop high-impact ads relevance models and ranking algorithms for search ads optimization.
  • Implement NLP technologies for query understanding, including semantic matching and bidword optimization.
  • Enhance CTR/CVR model accuracy through data analysis and feature engineering.
  • Optimize ads pacing algorithms and control traffic for improved ad performance.
  • Collaborate with product teams to define ad features and strategies.

Why Work Here?

  • Industry Leader: Hireio, Inc. is a global leader in short-form mobile video, offering a platform with massive engagement across millions of users worldwide.
  • Innovation: Our culture is built on creativity, growth, and innovation, where engineers have the opportunity to work on cutting-edge technologies.
  • Career Growth: We provide a dynamic, fast-paced environment where you can grow as both an engineer and a leader.
  • Work-Life Balance: Our casual work culture fosters a 9-to-5, relaxed yet highly productive work environment, where individual autonomy is encouraged.
  • Compensation: Competitive salaries with additional benefits including bonuses, RSUs, and potential sign-on bonuses, making it a highly rewarding place to work.

Key Qualifications

  • 5+ years of experience in Machine Learning, Search Ads, or related fields.
  • Expertise in NLP, Deep Learning, Ranking systems, or Recommendation systems.
  • Experience with search ads technologies, including ad relevance models and monetization products.
  • Proficiency in Python, C++, or Go.
  • BS or MS in Computer Science, Engineering, or related fields.

Additional Information

  • Location: Open to U.S.-based candidates in San Jose, Seattle, or Los Angeles.
  • Estimated Salary Range: $16-$29K USD per month.


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