ByteDance
San Jose, CA

Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2027 Start (PhD)

Onsite$162,000 - $388,000/yrPosted 3 weeks agoVisa Sponsorship

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Job details

Location
San Jose, CA
Work type
Onsite
Compensation
$162,000 - $388,000/yr
Visa
Sponsorship available
Posted
3 weeks ago
Apply on
joinbytedance.com

About this role

ByteDance is a technology company whose products include TikTok and other content and commerce platforms. The Machine Learning Engineer Graduate will develop AI-driven risk control solutions, prototype and validate machine learning approaches, build data-querying infrastructure, define risk metrics, and communicate technical findings to cross-functional teams.

What you'll do:

  • 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

What they're looking for:

  • • Individuals who are completing or have recently completed a PhD degree in Computer Science, Computer Engineering or a related 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
  • • Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
  • • Internship experience or research experience, especially in e-commerce, risk control domian
  • • Curiosity towards new technologies and entrepreneurship
  • • High levels of creativity and quick problem-solving capabilities

Benefits:

  • Employees have day one access to medical, dental, and vision insurance
  • A 401(k) savings plan with company match
  • Paid parental leave
  • Short-term and long-term disability coverage
  • Life insurance
  • Wellbeing benefits
  • 10 paid holidays per year
  • 10 paid sick days per year
  • 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
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About ByteDance

ByteDance
San Jose, CA