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Job description
Machine Learning Engineer Intern (E-Commerce Risk Control)- 2027 Start (PhD)
Location:
San Jose
Team:
Technology
Employment Type:
Intern
Job Code:
A
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Responsibilities
Our team is building the next generation of AI-native risk intelligence systems to address emerging challenges driven by large-scale AIGC content production. As content creation becomes automated and adversaries adopt systematic experimentation (e.g., large-scale template variation and rapid iteration), traditional rule-based and single-model approaches are no longer sufficient. We are transitioning from monolithic LLM applications to a structured multi-agent architecture that emphasizes:
Tool-augmented reasoning (ReAct-style systems)
Modular skill composition
Execution traceability and observability
Feedback-driven system evolution
Cross-domain risk reasoning
We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands‑on learning, enriching community-building and professional development events, and collaboration with industry experts. 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:
Currently pursuing a PhD in Software Development, 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.
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 domian.
Curiosity towards new technologies and entrepreneurship.
High levels of creativity and quick problem‑solving capabilities.
Job Information
The hourly rate range for this position in the selected city is $60- $60.
Benefits
Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About Us
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an \"Always Day 1\" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.