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ByteDance · 7 months ago

Machine Learning Engineer Intern (Global E-commerce Risk Control) - 2025 Summer/Fall (PhD)

San Jose, CA

Internship

Onsite

Intern

$60/hr - $75/hr

ByteDance is a technology company that develops content creation platforms and services. They are seeking a Machine Learning Engineer Intern to join the E-Commerce Risk Control team, focusing on developing innovative algorithms to manage business risks and enhance the safety of their e-commerce platforms.

ContentData MiningInternetSocial Media

Comp. & Benefits

No H1B

Responsibilities

Develop and implement innovative machine learning algorithms to manage business risks in Bytedance 's products and platforms

Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams

Collaborate with multidisciplinary teams to enhance current automation processes

Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions

Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control

Document technical processes and effectively communicate results through writing, visualizations, and presentations

Qualification

Machine LearningPythonSQL/HiveHadoopData StructuresAlgorithmsOperations ResearchGraph TheoryUnsupervised LearningReinforcement LearningDeep Neural NetworksEnsemble Trees

Required

Currently pursuing a PhD in Computer Science Engineering, Operations Research, or related fields

Able to commit to working for 12 weeks during Summer 2025

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning

Experience with Python, SQL/Hive, and Hadoop

Strong understanding of data structures and algorithms, with excellent problem-solving ability

Detail oriented, effective time management, and strong analytical skills