Senior Machine Learning Engineer - Ads Pangle - USDS

TikTok USDS Joint Venture; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

TikTok USDS Joint Venture's Pangle team is building its U.S. presence, focusing on large-scale systems, optimization, and machine learning to monetize mobile apps.

We are seeking an ML engineer to develop bidding algorithms, improve CTR/CVR models, and drive measurable ROI across global ad delivery systems.

Join a fast-moving, global team shaping the future of mobile monetization.

Qualifications

• Bachelor's degree in computer science or related technical disciplines.
• 3+ years building and training scalable ML systems.
• Strong CS fundamentals and problem-solving.
• Experience leading ML projects.
• Experience with deep learning and ranking models.
• Preferred frameworks: TensorFlow or PyTorch.

Responsibilities

• Develop and optimize bidding algorithms and strategies across ad delivery systems.
• Improve the performance and efficiency of large-scale online-learning deep models for real-time advertising applications.
• Apply modeling techniques to enhance attribution accuracy, delivery quality, and long-term ecosystem sustainability.
• Design, build, and iterate on core ad prediction models such as CTR and CVR.

Skills

ML systems

CS fundamentals

Coding skills

Problem solving

Project leadership

Education

Bachelor's degree in CS

Tools

TensorFlow

PyTorch

Job description

Responsibilities

About the team

Pangle is the ad network of TikTok for Business, helping mobile developers accelerate growth, deliver engaging ad experiences, and maximum revenue by accessing TikTok's global advertising demand.

Operating in more than 36 countries and regions, Pangle has built a strong reputation for driving measurable results for app partners worldwide.

As Pangle expands into the U.S. market, we're building our advertising platform from the ground up — tackling exciting new challenges in large-scale systems, optimization, and machine learning.

Join us to shape the future of mobile monetization and grow your career in a fast-moving, global team.

Responsibilities

• Develop and optimize bidding algorithms and strategies across Pangle's ad delivery systems, including targeting, retrieval, ranking, and bidding models, with a focus on improving monetization efficiency and overall ad ROI.
• Improve the performance and efficiency of large-scale, online-learning–based deep models for real-time advertising applications.
• Apply advanced modeling techniques and strategic thinking to enhance attribution accuracy, delivery quality, and long-term ecosystem sustainability. Identify and drive innovative commercialization technologies and product solutions.
• Design, build, and iterate on core ad prediction models such as CTR (Click-Through Rate) and CVR (Conversion Rate) models.

Qualifications

Minimum Qualification(s):

• Bachelor's degree in computer science or related technical disciplines.
• 3+ years of hands-on experience with building and training complex and scalable machine learning systems.
• Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills.
• Strong coding skills and a solid understanding of machine learning algorithms, particularly deep learning and ranking models.
• Experience leading or driving machine learning projects.

Preferred Qualification(s):

• Strong theoretical background in machine learning and deep learning, with proficiency in at least one major framework (e.g., TensorFlow, PyTorch).
• Demonstrated experience optimizing large-scale advertising systems