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

TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. Our global offices span major cities including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo. At TikTok, we pride ourselves on our humble, intelligent, compassionate, and creative workforce. We strive to inspire through our work, aiming for the highest standards while embracing calculated risks and ambiguity. The opportunities here are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. The Data-E-commerce-Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experiences and reducing operational costs in TikTok E-commerce's supply chain and logistics. We develop end-to-end algorithm capabilities using machine learning, operations research, data mining, and causal inference methods. As a Machine Learning Engineer focused on demand forecasting, you will play a critical role in developing and implementing cutting-edge machine learning models and algorithms to optimize inventory management, supply chain efficiency, and enhance overall customer experience. In this role, you will collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to create innovative solutions that accurately forecast demand patterns and optimize inventory planning. You will be responsible for developing and implementing machine learning models, collecting and preprocessing data, conducting exploratory data analysis, building data pipelines, and monitoring model performance. Staying updated with the latest advancements in machine learning and effectively communicating findings to both technical and non-technical stakeholders will also be key aspects of your role.

Responsibilities

• Develop and implement end-to-end machine learning models and algorithms for demand forecasting in the context of 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 for 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.