Senior Machine Learning Engineer, TikTok Core Ads Ranking

$194,000 - $355,000/Yr

Tiktok - San Jose, CA

Full-time - Senior

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Senior Machine Learning Engineer position at TikTok focuses on optimizing the efficiency of the advertising delivery system and driving revenue growth through advanced machine learning models and strategies. The role involves working within the Ads Core Ranking team to develop state-of-the-art ad technologies, including ranking, targeting, and bidding systems. The engineer will be responsible for enhancing ad formats and ranking models, ensuring better returns on investment for advertisers while collaborating with product and business teams to meet diverse business needs.

Responsibilities

• Optimize efficiency across the entire advertising funnel, including Recall&Rough-sort, Fine-sort(CTR/CVR), format/creative personalization and system resource allocation.
• Research & develop a global advanced advertising delivery system through frontier technologies, including ML/DL, RL, LLM and scaling law in ads recommendation.
• Design & Set up system framework and standard to continuously improve overall efficiency and meet different vertical business needs.
• Work with product and business teams from various scenario vision with global impact.

Requirements

• BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields.
• Hands-on experience in machine learning, deep learning, statistical models and applied mathematical methods.
• Solid programming skills, proficient in C/C++ and Python.
• Familiar with basic data structure and algorithms and Linux development environment.
• Familiarity with online experimentation and analytics.
• Familiarity with big data systems including Hadoop and Spark.
• Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet).
• Curiosity towards new technologies and entrepreneurship.

Nice-to-haves

• Experience in reinforcement learning, transfer learning, and counter-factual optimization.
• Understanding of the business value of online advertising.
• Experience in LLM.
• Paper publication in NLP/CV/recommendation system (RecSys/KDD/NIPs... etc).

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents, and a Health Savings Account (HSA) with company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) options for Health Care, Limited Purpose, and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.