02. Senior Machine Learning Engineer, Search Ads - US

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.

Why Work Here?

• 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.

Hiring Notes for All Positions:

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