ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join UsWe are the TikTok Ads Core Ranking team from TikTok Global Monetization Technology. Our mission is to optimize the wholistic efficiency of delivery system and revenue growth by building the State-Of-The-Art model/strategy/framework. We're looking for innovative Machine Learning Engineers to join our TikTok Ads Core-Ranking team. Ads Core is a mid-platform team that develops state-of-art ad technologies, including ranking, targeting, bidding, auction, etc. You will be part of the Ranking team that is optimizing ads format and ranking model & strategies, including recall&rough-sort, fine-sort, format personalization and system framework, and you will be directly responsible for bringing a more advanced advertising delivery system and better return on investment for advertisers.As part of our team, you will be responsible for: - 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 also 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.All of our team effort, is to continuously pursue and establish a world-leading ranking model & framework that always benefits our collaborators, users and customers to get better return. QualificationsMinimum Qualifications:- BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields/with related experience.- Hands-on experience in one or more of the following areas: 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. Familiar with 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.Preferred Qualifications:- Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus.- Understanding of the business value of online advertising.- Experience in LLM is a plus.- Paper publication in NLP/CV/recommendation system(RecSys/KDD/NIPs... etc)TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2 . By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy. Job Information【For Pay Transparency】Compensation Description (annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees: We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care. Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and3. Exercising sound judgment.
