Machine Learning Engineer-eCommerce Business Growth

$137,750 - $237,500/Yr

Tiktok - Seattle, WA

Full-time - Entry Level

Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. The E-Commerce Business Growth - Data Compass team is dedicated to enhancing the operational efficiency of merchants and creators on our e-commerce platform. This role focuses on optimizing various aspects of e-commerce, including merchandise strategy, user operation, and marketing, through algorithm-driven solutions. As a Machine Learning Engineer, you will play a crucial role in improving the working efficiency of e-commerce merchants, influencers, and account managers, ultimately driving the growth of sellers' products, customers, and revenue. In this position, you will participate in the optimization of sellers' operations, which includes providing marketing insights, assortment planning, customer relationship management (CRM), anomaly detection, and diagnostic attribution. You will also be involved in optimizing merchandise operations through seasonal and trend analysis, supply and demand analysis, and product growth analysis, ensuring that products align with associated traffic. Additionally, you will work on enhancing marketing strategies and the Return on Investment (ROI) for sellers and influencers in TikTok's e-commerce live streaming, short video, and ShopTab. Your responsibilities will also include analyzing and conducting feature engineering for massive datasets, such as customer profiling and e-commerce transactions, and deploying model pipelines. You will utilize advanced techniques like representation learning, graph modeling, causal inference, and time series forecasting to assist merchants and influencers in problem-solving and discovering growth opportunities. This role is ideal for someone who is passionate about leveraging data to drive business growth and improve user experiences in the e-commerce space.

Responsibilities

• Improve the working efficiency of e-commerce merchants, influencers, and account managers to boost the growth of sellers' products, customers, and revenue.
• Participate in the optimization of sellers' operations, such as marketing insights, assortment planning, customer relationship management (CRM), anomaly detection, and diagnostic attribution.
• Participate in the optimization of merchandise operations, such as seasonal and trend analysis, supply and demand analysis, new product and product growth analysis, and improving the alignment of products and associated traffic.
• Participate in the optimization of the marketing strategies and Return on Investment (ROI) of sellers and influencers in TikTok e-commerce live streaming, short video, and ShopTab.
• Analyze and conduct feature engineering for massive data such as customer profiling, e-commerce transactions, relationships between products, business opportunities, and deploy the model pipeline.
• Use techniques such as representation learning, graph modeling, causal inference, and time series forecasting to assist merchants and influencers in problem-solving and discovering growth opportunities.

Requirements

• A bachelor's degree is required, with a strong preference for fields of study in computer science, statistics, and data mining.
• Experienced with feature engineering from massive raw data, such as customer/shop/influencer profiling and e-commerce transactions.
• Solid understanding and hands-on experience with data structures algorithms, machine learning models such as boosting trees, logistic regression, and clustering.
• Proficient coding skills using Python, Spark, Tensorflow/PyTorch, and other deep learning tools.
• Experience in search and recommendation systems, with an emphasis on AIGC field is a plus.
• A strong desire to learn and discover new things, result-oriented, customer-oriented, team player, and self-driven.

Nice-to-haves

• Experience in search and recommendation systems, particularly in the AIGC field.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.