Senior ML Engineer — Real‑Time Ad Bidding & CTR/CVR

TikTok USDS Joint Venture LLC; San Jose (CA); On-site; USD 137,000 - 360,000; Full time

Benefits offered by this job

Medical insurance

401(k) with company match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid Personal Time

Job summary

TikTok USDS Joint Venture LLC is seeking an experienced ML Engineer to advance bidding and ad-delivery algorithms for Pangle. You will work on large-scale, online-learning models supporting real-time advertising and revenue optimization.

The role emphasizes building robust ML systems, improving attribution, and delivering scalable CTR/CVR models. A strong foundation in CS, leadership in ML projects, and exposure to TensorFlow or PyTorch are essential.

Qualifications

• Bachelor's degree in computer science or related technical disciplines.
• 3+ years of hands-on experience building and training complex scalable ML systems.
• Strong CS fundamentals and problem-solving abilities.
• Experience leading or driving ML projects.

Responsibilities

• Develop and optimize bidding algorithms and strategies across ad delivery systems to improve monetization efficiency.
• Improve performance of large-scale online-learning–based models for real-time advertising.
• Enhance attribution accuracy, delivery quality, and long-term ecosystem sustainability with advanced modeling.
• Design and iterate on core ad prediction models such as CTR and CVR.

Skills

ML systems

CS fundamentals

Coding skills

ML leadership

Problem solving

Education

Bachelor's degree in computer science or related technical disciplines

Tools

TensorFlow

PyTorch

Job description

TikTok USDS Joint Venture LLC is seeking an experienced ML Engineer to advance bidding and ad-delivery algorithms for Pangle. You will work on large-scale, online-learning models supporting real-time advertising and revenue optimization.

The role emphasizes building robust ML systems, improving attribution, and delivering scalable CTR/CVR models. A strong foundation in CS, leadership in ML projects, and exposure to TensorFlow or PyTorch are essential.