MACHINE LEARNING ENGINEER - DEMAND FORECASTING (TIKTOK GLOBAL E-COMMERCE SUPPLY CHAIN AND LOGISTICS)

$136,800 - $280,000/Yr

Tiktok - San Jose, CA

Full-time - Mid Level

San Jose, CA

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

About the position

As a Machine Learning Engineer focused on demand forecasting at TikTok, you will play a crucial role in enhancing the e-commerce supply chain and logistics operations. Your primary responsibility will be to develop and implement advanced machine learning models that optimize inventory management and improve the overall customer experience. You will collaborate with cross-functional teams to create innovative solutions that accurately forecast demand patterns, ensuring efficient supply chain operations.

Responsibilities

• Develop and implement end-to-end machine learning models and algorithms for demand forecasting in TikTok's global e-commerce supply chain and logistics operations.
• Collect, clean, and preprocess large-scale data sets to ensure data quality and suitability for forecasting purposes.
• Collaborate with data scientists and domain experts to understand business requirements, identify key demand drivers, and incorporate relevant features into forecasting models.
• Conduct exploratory data analysis to gain insights into demand patterns, trends, and seasonality factors that influence purchasing behavior.
• Build scalable and efficient data pipelines to automate data preprocessing, model training, and prediction processes.
• Evaluate and optimize the performance of existing time series forecasting models, and propose enhancements or alternative approaches to improve accuracy and robustness.
• Collaborate with software engineers to integrate machine learning models into production systems and ensure reliable and timely delivery of forecasts.
• Monitor model performance, identify anomalies, and develop proactive measures to address potential forecast errors or biases.
• Stay up to date with the latest advancements in machine learning, demand forecasting techniques, and related domains, and apply this knowledge to enhance the team's capabilities.
• Communicate findings, insights, and technical concepts effectively to both technical and non-technical stakeholders, fostering a collaborative and data-driven decision-making culture.

Requirements

• Master's or advanced degree in Computer Science, Machine Learning, Statistics, or a related field.
• Proven experience as a Machine Learning Engineer or Data Scientist, with a focus on demand forecasting and supply chain optimization.
• Strong proficiency in machine learning techniques, including time series forecasting, regression, classification, and clustering.
• Familiarity with processing big data on cloud platforms (e.g. pyspark) and deploying machine learning models at scale.
• Strong analytical and problem-solving abilities, with a track record of delivering practical and impactful solutions in a fast-paced environment.
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and convey complex technical concepts to non-technical stakeholders.
• Experience in the e-commerce, logistics, or supply chain domain is a plus.
• Demonstrated ability to work independently, prioritize tasks, and manage multiple projects simultaneously.

Nice-to-haves

• Experience in the e-commerce, logistics, or supply chain domain is a plus.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a 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) (prorated upon hire and increased by tenure) 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.