Machine Learning Engineer, Pricing - TikTok E-commerce Global Supply Chain and Logistics

TikTok
Seattle, San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Data-driven problem-solving","Communication"]

Build and deploy machine learning and optimization algorithms for TikTok E-commerce supply chain pricing and logistics. Work with order allocation systems, probability estimation and simulation capabilities, and commodity/freight pricing for domestic and cross-border scenarios. Develop models for logistics cost/benefit and price elasticity using causal inference and data mining, while collaborating with product and operations to productize and implement algorithm models that improve cost, service quality, and user experience.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer, Pricing - TikTok E-commerce Global Supply Chain and Logistics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build and deploy machine learning and optimization algorithms for TikTok E-commerce supply chain pricing and logistics. Work with order allocation systems, probability estimation and simulation capabilities, and commodity/freight pricing for domestic and cross-border scenarios. Develop models for logistics cost/benefit and price elasticity using causal inference and data mining, while collaborating with product and operations to productize and implement algorithm models that improve cost, service quality, and user experience.
Location: Seattle, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design optimization algorithm strategies for order allocation systems that meet diverse goals and constraints.
  • •Estimate probabilities of core decision variables and build simulation capabilities to improve estimation accuracy over time.
  • •Develop optimization strategies for commodity/freight pricing across domestic and cross-border scenarios, partnering with upstream/downstream teams to optimize subsidy pricing.
  • •Model probability estimation for logistics cost/benefit and price elasticity, improving accuracy using machine learning and causal inference.
  • •Understand e-commerce logistics business scenarios, refine operation mode optimization for cost reduction and service quality, and collaborate with product and operations to productize algorithm models.

Key Requirements

  • •Have a solid foundation in data structures and algorithm design, and proficiency in Python, Java, C++, or R.
  • •Familiarity with machine/deep learning, causal inference, and operational optimization algorithms (classification, regression, clustering, mathematical programming, heuristics).
  • •Experience with at least one of TensorFlow, PyTorch, or MXNet, including training/deployment and acceleration (mixed precision, distributed training).
  • •Familiarity with big data frameworks and applications, with MR or Spark preferred.
Skills:CollaborationData-driven problem-solvingCommunication
Tech Stack:PythonJavaC++RTensorFlowPyTorchMXNetMixed precision trainingDistributed trainingSparkMRKaggleCOCOImageNetCVPRICCVECCVACLEMNLP

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn