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 UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.SMB engineering team is responsible for developing software to empower all small and medium businesses to succeed by building scalable platforms, seamless products and comprehensive solutions. In the next few years, while SMB revenue will be the significant portion of total ads business, as an engineering team, we also dedicate ourselves to solving challenging but interesting problems in a more scalable and innovative way through advanced software architecture, engineering practice and cutting-edge algorithms. At the same time, we closely work with strategies, data scientists, product managers, operations and sales teams. Diversity in skills, culture and background is our source of power. We are looking for machine learning engineers who are passionate about innovating, creating and evolving scalable and reliable software, architecture and technical solutions to systematically and aggressively enable our SMB customers' success and grow our company's revenue. You will work on many different challenging problems, such as creative recommendation, ads delivery, personalized coupons, LLM-based customer support, etc.Responsibilities:1. Responsible for building the growth algorithm of TikTok Monetization, including the acquisition, conversion, and resurrection of advertisers.2. Participate in the optimization of TikTok Monetization delivery system, including targeting, recall, and ranking.3. Responsible for the construction of TikTok Monetization intelligence service, exploring the application of large language models.QualificationsMinimum Qualifications:1. Master's degree in Computer Science, Engineering, Mathematics, or a related field.2. Experience with machine learning, in either an academic or industrial setting.3. Strong knowledge of machine learning algorithms and techniques, including natural language processing, computer vision, click-through rate prediction, etc.4. Proficiency in programming languages such as Python, C++, Go, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, or scikit-learn).5. Experience with big data technologies, such as Hadoop, Spark, or Hive.6. Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex problems.7. Very strong teamwork skills (e.g. communication, collaboration, ownership, empathy, honesty).Preferred Qualifications:1. PhD in Computer Science, Engineering, Mathematics, or a related field.2. Have relevant experience in Growth, Search, Advertising, Recommendation and AIGC industries.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 a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (annually)The base salary range for this position in the selected city is $129960 - $194750 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.
