Responsibilities
The E-commerce Alliance team connects merchants and creators across the TikTok Shop ecosystem. We help merchants achieve their business goals by building intelligent and automated affiliate operation tools, while providing creators with efficient and highly personalized product recommendations that make it easier to discover the right products and create high-quality content. By improving merchant-creator matching, recommendation, search, and end-to-end collaboration efficiency, we aim to expand merchants' marketing opportunities, increase creators' monetization potential, and deliver a more engaging and personalized shopping experience to TikTok users. Our team works on large-scale recommendation and search systems, intelligent affiliate operations, creator and product understanding, and machine learning solutions that impact commerce growth. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Responsibilities: - Design and build cutting-edge machine learning, recommendation, and ranking algorithms to power large-scale e-commerce recommendation systems that deliver high-quality, real-time product recommendations for millions of users. - Develop AI-powered merchant operation systems and AI agents that help merchants optimize affiliate strategies, improve business ROI, and lower the barrier to growing their business through automation. - Apply state-of-the-art LLMs , NLP, and multimodal machine learning to discover new business opportunities , driving sustainable growth for both merchants and creators. - Collaborate closely with product managers, engineers, and cross-functional teams to bring innovative AI solutions from research to production. - Stay at the forefront of advances in AI and machine learning, rapidly prototyping and productionizing new technologies to shape the future of intelligent commerce. - Build ML-agents to automate algorithm development workflows, accelerating experimentation, model iteration, evaluation, and deployment.
Qualifications
Minimum Qualifications: - Individuals who are completing or have recently completed a PhD degree in Computer Science, Engineering, Operations Research or a related discipline. - Thorough understanding understanding of data structures and algorithms, with excellent problem-solving ability. - Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering Preferred Qualifications: - Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications - Internship experience or research experience, especially in e-commerce, recommendation, search engine - Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI. - Curiosity toward new technologies and entrepreneurship - High levels of creativity and quick problem-solving capabilities
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $153900 - $300960 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.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
