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

- 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.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $359720 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. 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, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Client-provided location(s): San Jose, CA

Job ID: TikTok-7547907327052351751

Employment Type: OTHER

Posted: 2025-09-10T20:23:14