Machine Learning Engineer, E-Commerce Supply Chain & Logistics - USDS Responsibilities

The USDS Global E-Commerce Global Supply Chain and Logistics team aims to enhance the shopping experience while reducing logistics operational costs. We are seeking highly talented and motivated graduate software engineers who are eager to apply their expertise in machine learning (ML), operations research (OR), data mining, and statistical inference to solve real-world challenges. Applications are reviewed on a rolling basis, so we encourage you to apply early.

In order to enhance collaboration and cross-functional partnerships, among other things, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities

Develop deep learning and operations research models, along with intelligent systems, to optimize the supply chain and logistics of the global e-commerce business.

Apply advanced time series forecasting techniques to predict sales across multiple granularities and horizons, including warehouse-level labor forecasting and product-level demand forecasting. Leverage strong machine learning and deep learning methods to identify key drivers and capture relationships between historical and future trends.

Design and implement advanced operations research models—particularly mixed-integer programming—to address real-world logistics challenges, including inventory planning and allocation, middle-mile routing and truck scheduling, optimal fulfillment strategies, and sales and operations planning.

Qualifications Minimum Qualifications

Master’s degree in Computer Science, Operations Research, Transportation, or a related field.

Proven software engineering experience gained through internships, work experience, coding competitions, or publications.

0–5 years of professional experience in e-commerce, supply chain, logistics, or transportation.

Preferred Qualifications

PhD in Computer Science, Operations Research, Transportation, or a related field.

Publications in top-tier conferences (e.g., KDD, NeurIPS, ICML, ICLR) or leading journals (e.g., UTD24 or ABS4+).

Experience of implementing large-scale deep learning and optimization models.

About USDS TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This security-first division focuses on data protection policies and content assurance protocols to keep U.S. users safe. The teams within USDS span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Data Security Statement This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.

Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product helps people express themselves, discover, connect, and be entertained. Our global, diverse teams create value for our communities and enable growth. We strive to do great things with great people and embrace challenges as opportunities to learn and innovate as one team.

Diversity & Inclusion TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We are committed to celebrating diverse voices and creating an environment that reflects the communities we reach.

USDS Reasonable Accommodation USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA

Job Information Compensation: The base salary range for this position in the selected city is $136,800 - $359,720 annually. Compensation may vary outside of this range based on qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Package and may include discretionary bonuses, incentives, and stock units. Benefits vary by location and may include medical, dental, vision, 401(k) with match, parental leave, disability coverage, life insurance, wellbeing benefits, paid holidays, sick days, and paid personal time. The Company reserves the right to modify benefits programs at any time, with or without notice.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development

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