Senior Machine Learning E-commerce Feed Recommendation

Location Seattle Employment Type Regular Job Code A120104 Responsibilities Participate in building large-scale (10 million to 100 million) live-streaming and short video e-commerce recommendation algorithms and systems on TikTok. Design, develop, evaluate and iterate on predictive models for candidate generation and ranking (e.g., CTR and CVR prediction), including building real-time data pipelines, feature engineering, model optimization and innovation. Build long-term and short-term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users’ latent interests efficiently. Design and develop various strategies using ML technology to improve user shopping experience and resolve e-commerce business challenges such as the cold-start problem and traffic allocation. Design and build supporting/debugging tools as needed. Qualifications Minimum Qualifications Bachelor's degree or higher in Computer Science or related fields. Strong programming and problem-solving ability. 3 years of experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Experience in Deep Learning Tools such as tensorflow/pytorch. Experience with at least one programming language like C++/Python or equivalent. Preferred Qualifications 3 years of experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Publications at KDD, NeurlPS, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc. Job Information The base salary range for this position in the selected city is $202160 - $368220 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 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. Employment Eligibility 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: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; Exercising sound judgment. #J-18808-Ljbffr TikTok