ByteDance
San Jose, CA
Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2027 Start (PhD)
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Apply to Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2027 Start (PhD) at ByteDanceJob 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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