Senior Machine Learning Engineer - E-Commerce Supply Chain & Logistics (Multiple Positions)

ByteDance
San Jose
Workplace: OnsiteFull timeUSD 224,797 - 387,600 annuallyFunction: Data Science & Machine LearningExperience: 1+ yearsSkills: []

Develop and optimize large-scale machine learning systems for e-commerce supply chain and logistics. Own the full ML lifecycle from data preparation and feature engineering through hyperparameter tuning, evaluation, and model selection. Apply time series forecasting and statistical learning to improve sales, inventory, and warehousing demand, and build scalable pipelines using big data frameworks. Collaborate cross-functionally and mentor junior ML engineers and interns.

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FursaFursa
ByteDance
ByteDance
1 month ago

Senior Machine Learning Engineer - E-Commerce Supply Chain & Logistics (Multiple Positions)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Develop and optimize large-scale machine learning systems for e-commerce supply chain and logistics. Own the full ML lifecycle from data preparation and feature engineering through hyperparameter tuning, evaluation, and model selection. Apply time series forecasting and statistical learning to improve sales, inventory, and warehousing demand, and build scalable pipelines using big data frameworks. Collaborate cross-functionally and mentor junior ML engineers and interns.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Work across the full machine learning modeling lifecycle, including data preparation, feature engineering, hyperparameter tuning/evaluation, and model selection to optimize large-scale ML systems.
  • •Formulate real-world user data modeling tasks as statistical learning problems and apply statistical analysis to optimize supply chain and logistics performance.
  • •Use time series forecasting to predict variables including sales, warehousing-level manpower, and inventory-level demand.
  • •Research, design, and build ML models to improve supply chain and logistics systems, using big data frameworks and analytics tools to process data.
  • •Collaborate with stakeholders and cross-functional teams on ML engineering strategy and mentor junior ML engineers and interns.
Travel: Low travel

Pay and Benefits

Salary: USD 224,797 - 387,600 annually

Key Requirements

  • •Must have a PhD (or foreign equivalent) with 1 year of related experience, or a Master’s (or foreign equivalent) with 4 years of related experience in Computer Science, Engineering, Data Science, Mathematics, or a related field.
  • •1 year of experience coding using Python or C++.
  • •1 year of experience optimizing, training, and deploying machine learning/deep learning models using PyTorch or TensorFlow.
  • •1 year of experience developing code and identifying issues in a Linux environment.
  • •1 year of experience deploying large-scale machine learning systems and using big data frameworks such as MySQL, Spark, Hadoop, or Flink.
Experience:1+ years
Education:
Tech Stack:PythonC++PyTorchTensorFlowLinuxMySQLSparkHadoopFlink

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn