Senior ML Engineer, Lead Ads Platform

TikTok; San Jose (CA); Hybrid; USD 162,000 - 317,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Disability coverage

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days Paid Personal Time

Job summary

TikTok is seeking a Machine Learning Engineer for Lead Ads in San Jose to build and optimize large-scale online ads delivery with strong ranking models. You will work across teams including product management and data science to push innovations in Lead Ads.

The role requires hands-on ML for ranking, software development with Python/C++, and experience with recommender systems and experimentation. Join a fast-paced, globally impactful team at TikTok.

Qualifications

• BS/MS in CS/CE or related field.
• 3+ years of ML for ranking experience.
• 3+ years of software development with Python/C++.
• Experience with recommender systems.
• Familiarity with online experimentation methods and statistics.
• Curiosity toward new technologies.

Responsibilities

• Develop large-scale online ads delivery system and improve accuracy.
• Explore multi-stage ranking models and feature engineering.
• Participate in innovations of online ads systems using ML models and ranking algorithms.
• Partner with product managers, data scientists and operations to launch Lead Ads features.

Skills

ML for ranking

Software development

Python

C++

Recommender systems

Online experimentation

Statistics

TensorFlow

PyTorch

MXNet

Education

BS/MS in CS/CE

Tools

TensorFlow

PyTorch

MXNet

Python

C++

Job description

TikTok is seeking a Machine Learning Engineer for Lead Ads in San Jose to build and optimize large-scale online ads delivery with strong ranking models. You will work across teams including product management and data science to push innovations in Lead Ads.

The role requires hands-on ML for ranking, software development with Python/C++, and experience with recommender systems and experimentation. Join a fast-paced, globally impactful team at TikTok.