ML Engineer, E-Commerce Global Supply Chain and Logistics 2510

San Jose, US-United States, Seattle, US-United States
Posted 10 months ago
About The Company

This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it’s a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors.

As an ML Engineer in the Data-E-commerce-Global Supply Chain and Logistics team, you will be responsible for optimizing the variety and cost-saving of goods, as well as the speed and quality of fulfillment to ensure a seamless user experience for their global e-commerce service.

Your tasks will include

– Building a global logistic and warehousing network, improving operations efficiency, and reducing operational costs using data analysis, machine learning, and operation research methods.
– Creating a data portrait and knowledge graph of the supply chain in various dimensions such as vendors, commodity, place of origin, inventory, production capacity, and quality of fulfillment. Establishing data-driven control-adjustment methods to enhance operational outcomes and user experience.
– Identifying global e-commerce trends to optimize e-commerce commodity supplies, forecast commodity demand, recommend vendor stocking, and enhance production capacity.
– Developing deep learning models and intelligent systems for the supply chain and logistics of international E-Commerce businesses.
– Participating in the process of optimizing business results using techniques such as computer vision, natural language processing, sales prediction, time-series analysis, and geo-coding.
– Keeping track of cutting-edge technologies in computer vision, natural language processing, and multi-modal machine learning. Utilizing these technologies to optimize results in tasks such as fine-grained product style analysis, product similarity analysis, and product attribute recognition.


– In-depth study in a certain field of natural language processing or computer vision, including image/video classification and recognition, image segmentation, object detection, OCR, graph neural network, text classification, NER, multimodal, unsupervised and self-supervised learning.
– Familiarity with at least one framework of TensorFlow / PyTorch / MXNet and its training and deployment details, as well as training acceleration methods such as mixed precision training and distributed training.
– Knowledge of the latest research and technology in model compression acceleration, including model quantization, pruning, knowledge distillation, and inference frameworks such as TensorRT.
– Strong practical ability, preferably with experience in winning Kaggle, COCO, ImageNet, NOI/IOI, and other competitions. Publications in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, ACL, EMNLP, etc.) are highly preferred.
– Familiarity with AutoML related algorithms, preferably with experience in automatic search of network structure or hyperparameters.
– Familiarity with big data related frameworks and applications, preferably with knowledge of MR or Spark.

Our client is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. They celebrate diversity and strive to create an environment that reflects the many communities they reach. Reasonable accommodations are provided during the recruitment process.

Job Features

Job CategoryAI Engineering
SenioritySenior IC / Tech Lead
Base Salary$160,000 - $280,000

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