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Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd)
Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd)ByteDance • San Jose, CA, United States
Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd)

Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd)

ByteDance • San Jose, CA, United States
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Overview

Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2026 Start (PhD) at ByteDance

Join to apply for the Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd) role at ByteDance

Responsibilities

  • Develop and implement innovative machine learning algorithms to manage business risks in TikTok'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.

Qualifications

Minimum Qualifications

  • Master's or PhD degree in Computer Science, Engineering, Operations Research, or related fields.
  • Final year or recent graduate with a background in Computer Science, Computer Engineering, or a related technical discipline.
  • 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.
  • Preferred Qualifications

  • Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
  • Internship experience or research experience, especially in e-commerce, risk control domain.
  • Curiosity towards new technologies and entrepreneurship.
  • High levels of creativity and quick problem-solving capabilities.
  • Benefits

    Our benefits are designed to convey company culture and values, create an efficient and inspiring work environment, and support employees in both work and life. Available benefits include medical / dental / vision coverage, disability, life insurance, Health Savings Account with company match, Flexible Spending Accounts, and wellness programs. Time off includes holidays, paid personal time off, paid sick days, parental leave, and disability leave. We also offer 401(k) with company match and other perks. The Company reserves the right to modify benefits programs at any time, with or without notice.

    Pay Transparency

    The base salary range for this position in the selected city is $136,800 - $259,200 annually. Compensation may vary outside of this range depending on a number of factors, including qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that may include discretionary bonuses / incentives and restricted stock units.

    Additional Information

    Employment type : Full-time

  • Seniority level : Internship
  • Job function : Engineering and Information Technology

  • Industries : Software Development
  • For accommodation requests or questions, ByteDance provides reasonable accommodations in its recruitment processes in accordance with applicable laws.

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    Machine Learning Engineer • San Jose, CA, United States

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