Machine Learning Engineer New Grad - E-Commerce User Growth

## Team Introduction The TikTok e-Commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-Commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we use recommendation and search algorithms to help users find items they are interested in, risk control algorithms and intelligent platform governance algorithms to detect violations and ensure a secure shopping experience, intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of transaction processes, logistics and operations research algorithms to enhance supply chain efficiency, and artificial intelligence to help merchants improve their operational capabilities. Our mission is to make high-quality products easily accessible, enabling everyone to enjoy a better life. 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. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to the company's and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. ## Responsibilities - Participate in optimizing TikTok e-Commerce growth and marketing algorithms, including user value modelling, personalized messaging, recommendations, and intelligent marketing. - Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth. - Contribute to product and technical solutions for user growth engines, such as personalized push notifications, emails, and recommendation handling, to increase e-Commerce DAU and penetration rates. - Optimize recall and sorting algorithms for new user recommendations, improving traffic source relevance and the accuracy and diversity of new user recommendations. - Optimize intelligent marketing algorithms using uplift models and operations research methods to improve marketing efficiency and drive e-Commerce GMV growth. ## Minimum Qualifications - Completing or recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering, or a related discipline. - Experience in C++ and Python; at least one Big Data tool such as Hive SQL, Spark, or MapReduce; and at least one Deep Learning tool such as TensorFlow or PyTorch. - Strong foundation in algorithms and data structures, with excellent coding skills. - Strong learning ability, curiosity, and good communication and teamwork skills. ## Preferred Qualifications - Completing or recently completed a Master's degree in Software Development, Computer Science, Computer Engineering, or a related discipline. - Published papers in top AI conferences or journals, or notable results in ACM or Machine Learning competitions. - Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization. ## Compensation and Benefits The base salary range for this position in the selected city is $128,000–$316,800 annually. Compensation may vary depending on qualifications, skills, competencies, experience, and location. The role may be eligible for additional discretionary bonuses or incentives and restricted stock units. 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, 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time. ## About TikTok TikTok is the leading destination for short-form mobile video. TikTok's 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. TikTok's innovative product helps people authentically express themselves, discover, and connect. TikTok's global, diverse teams create value for communities, inspire creativity, and bring joy. The company leads with curiosity, humility, and a desire to make an impact in a rapidly growing technology company. ## Diversity & Inclusion TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. The company is committed to celebrating diverse voices and creating a workplace that reflects the communities it reaches. ## TikTok Accommodation TikTok is committed to providing reasonable accommodations in its recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws.