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TikTok

Machine Learning Engineer, TikTok Ads Core Global - Traffic & Strategy

TikTok, San Jose, California, United States, 95199

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Overview

Machine Learning Engineer, TikTok Ads Core Global - Traffic & Strategy 6 days ago Be among the first 25 applicants Responsibilities

TikTok Ads Core ML Team aims at creating automatic delivery products for the next generation and developing advertising as a global business, instead of just a monetization tool to consolidate the delivery funnel framework allowing multiple teams to iterate parallel. Ads Core Traffic Strategy & User Experience team focuses on: Personalized Ads Experience: optimize every stage of the ad delivery pipeline, from recall and ranking to final placement, by integrating user feedback to make ads more relevant and engaging. Cutting-Edge Multi-Scenario Integration: build context models that analyze ads-related information and scene elements to improve accuracy, and develop list-wise models to optimize recommendation outcomes and ads ROIs. Develop state-of-art ad technologies, including ranking, retrieval, targeting, bidding, auction, etc. Be part of a team optimizing ads format and ranking strategies to bring better returns on investment for advertisers. Aim to achieve extreme iteration and optimization of advertising models via advanced technologies like AIGC/LLMs/RL/DL to enhance TikTok’s revenue and system efficiency, and improve customer experience. Optimize the delivery efficiency of automatic delivery products to increase penetration rate and lift compared to manual delivery. Iterate bidding and budget algorithms to select the best matching traffic for advertisers. Develop ads delivery capability as a tool for doing business with joint effort of TikTok\'s global recommendation optimization. Establish a robust, flexible and fair framework for multiple teams to parallelly iterate related models in the delivery funnel. Qualifications

Minimum Qualifications: BS/MS degree in Computer Science, Computer Engineering, or a related technical discipline with industry experience or model optimization experience. Solid programming skills, proficient in C/C++ and Python. Good theoretical grounding in deep learning concepts and techniques. Familiar with Linux development environment. Good analytical and critical thinking capabilities. Essential knowledge and skills in statistics. Familiar with architecture and implementation of at least one mainstream machine learning framework (TensorFlow/PyTorch/MXNet). Good collaboration skills, with the ability to work effectively with cross-functional teams across different locations and time zones for global business needs. Preferred Qualifications: Participation in national math/coding competitions (ACM/Hacker Cup/Hash Code/USACO/IOI/CCPC, etc.). Understanding in one or more domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with CPC/CPM, CTR/CVR, Ranking/Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB). Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow). About TikTok

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok\'s global headquarters are in Los Angeles and Singapore, with offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us

Inspiring creativity is at the core of TikTok\'s mission. Our product helps people authentically express themselves, discover and connect, supported by diverse teams worldwide. We value curiosity, humility, and impact, and pursue meaningful breakthroughs for our users and company. Join us to grow together. Diversity & Inclusion

TikTok is committed to an inclusive space where employees are valued for their skills, experiences, and perspectives. We celebrate diverse voices and aim to reflect the communities we reach. TikTok Accommodation

TikTok provides reasonable accommodations in recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance, reach out at https://tinyurl.com/RA-request Job Information

For Pay Transparency: Compensation Description (Annually) The base salary range for this position in the selected city is $136,800 - $259,200 annually. Compensation may vary outside this range based on qualifications, skills, competencies, experience, and location. Base pay may be supplemented by discretionary bonuses/incentives and restricted stock units. Benefits may vary by location and employment type. Day-one medical, dental, and vision; 401(k) with company match; paid parental leave; disability coverage; life insurance; wellbeing benefits; and paid time off are typical, with additional holidays and personal time prorated on hire. The Company reserves the right to modify benefits programs at any time. Seniority level

Mid-Senior level Employment type

Full-time Job function

Engineering and Information Technology Industries

Software Development

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