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TikTok
Posted 141 days agoVerified live 14h ago

Operation Research Engineer- TikTok E-commerce Global Supply Chain and Logistics

Brief overview

SeattleIn-person
MastersOr in progress
$148k–$301k/yrStated range
2+ yrsMinimum
1,996 H-1B approvalsDept. of Labor
230 green cardsCertified filings
Machine learningData miningData analyticsFeature engineeringOperation researchOptimization modelingAlgorithm designLP/IP problem solvingPythonGoJavaC++GurobiCPLEXSCIPORToolsData structures

About the company

TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance.

Visa sponsorship history

4 years sponsoring, last filed FY2026H-1B dependent

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
1,996H-1B approved
98%approval rate
810new H-1B hires
230PERM certified
$200,900median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
2023488
2024614
2025765
2026129
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
2023109
2024148
2025293
2026129
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202329
202495
202560
202646
Top sponsored roles
Software Engineer USDSSoftware Engineer - USDSSoftware EngineerData Scientist USDSData Engineer USDS
Sponsored employees from
ChinaIndiaCanadaTaiwanSouth Korea

Job description

Summary

TikTok is the leading destination for short-form mobile video, and they are seeking an Operation Research Engineer to optimize their global supply chain and logistics. The role involves building a global logistics network, improving operational efficiency through data analysis and machine learning, and collaborating with various teams to enhance user experience in e-commerce services.

Responsibilities

  • Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods
  • Create supply chain's data portrait and knowledge graph in various dimensions such as vendors, commodity, place of origin, inventory, production capacity and quality of fulfillment, etc. Establish data-driven control-adjustment methods that enhance operational outcomes and user experience
  • Highlight global e-commerce trends to optimize e-commerce commodity supplies, forecast commodity demand, recommend vendor stocking and enhance production capacity
  • We are seeking a motivated professional role to participate in the construction of the smart supply chain, mostly for business-oriented data mining and continuous algorithm iteration
  • The individual must be analytical enough to understand the underlying logic of the e-commerce supply chain, yet creative enough to see improvement opportunities in warehouse layout optimization, warehouse inbound and outbound logistics optimization, vehicle routing problem, inventory stocking & inventory allocation planning
  • The successful candidate will be required to build the optimization model and design the algorithm to support decision optimization. The position requires strong communication skills to work with customers, understanding their business problems, present results, and partner with Operations and R&D teams throughout the engagement and implementation

Skills

  • Major in computer/automation/statistics/mathematics/logistics/operations research, master degree or above
  • More than 2 years experience in machine learning, data mining and other related fields
  • Coding experience in solving LP/ IP problems using Gurobi, CPLEX, SCIP, ORTools and languages in Python/Go/Java/C++
  • Being proficient in basic data structures and algorithms
  • Machine learning, data analytics and feature engineering experience and skills
  • Being self-driven, understanding the underlying logic of the business, adapting to rapid business changes
  • Good communication skills and courage to change business
  • Experience in the application of logistics-related algorithms in the field of e-commerce
  • Optimization experience in large-scale operations research problems
  • Being familiar with various heuristic algorithms

Qualifications

Must Haves

  • Major in computer/automation/statistics/mathematics/logistics/operations research, master degree or above
  • More than 2 years experience in machine learning, data mining and other related fields
  • Coding experience in solving LP/ IP problems using Gurobi, CPLEX, SCIP, ORTools and languages in Python/Go/Java/C++
  • Being proficient in basic data structures and algorithms
  • Machine learning, data analytics and feature engineering experience and skills
  • Being self-driven, understanding the underlying logic of the business, adapting to rapid business changes
  • Good communication skills and courage to change business

Nice to Haves

  • Experience in the application of logistics-related algorithms in the field of e-commerce
  • Optimization experience in large-scale operations research problems
  • Being familiar with various heuristic algorithms

Benefits

  • 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
  • Employees also receive 10 paid holidays per year
  • 10 paid sick days per year
  • 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

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