Senior Machine Learning Engineer, Search Ads

About the Role:
We are hiring a Senior Machine Learning Engineer to join a company that is reshaping the future of search and digital advertising. The Search Ads team focuses on building world-class search monetization systems for a globally leading digital platform. As part of the team, you will work on machine learning models for ads relevance , NLP for query understanding, and optimizing ad delivery at scale.

What You'll Do:

• Develop ads relevance models and ranking algorithms for search ads optimization.
• Implement NLP technologies for query understanding, including semantic matching and bidword optimization .
• Work on enhancing 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 This Company?
As one of the most influential digital platforms globally, the company has a huge user base and is continuously expanding its advertising solutions . You'll have the opportunity to shape the search ads product from the ground up, working on one of the company's most strategic and growing areas. With a focus on cutting-edge technology , this is an ideal opportunity to be part of a team that is scaling search monetization to new heights.

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.

• Industry Leader : The company is a global leader in short-form mobile video , offering a platform with massive engagement across millions of users worldwide.
• Innovation : A culture built on creativity , growth , and innovation , where engineers have the opportunity to work on cutting-edge technologies in ads , machine learning , NLP , ranking , and more.
• Career Growth : With a focus on personal development , the company provides a dynamic, fast-paced environment where you can grow as both an engineer and a leader.
• Work-Life Balance : Known for a casual work culture , the company 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.

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