TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. . Data Security ( USDS ) is a subsidiary of TikTok in the .
This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep .
users safe. Our focus is on providing oversight and protection of the TikTok platform and . user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.
The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity;
to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together.
That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. About the TeamThe Governance and Experience Algorithm team was established to support the following businesses with the most advanced AI technology - Combat any kinds of risks / violations issues in E-commerce scenarios.
- Build a robust E-commerce ecosystem and improve platform service capabilities Responsibilities : - Utilize algorithms to expand the coverage of user rights in the after-sales process, ensuring a comprehensive and satisfactory experience for our customers.
- Develop and implement uplift models to optimize subsidy ranges in the after-sales domain, maximizing the return on investment (ROI) for subsidy projects.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to gather requirements, design solutions, and integrate algorithms into our e-commerce platform.
- Conduct data analysis and experimentation to identify patterns, trends, and opportunities for improving the after-sales experience and subsidy strategies.
- Continuously monitor and evaluate the performance of implemented algorithms, making necessary adjustments and improvements based on feedback and data insights.
- Stay updated with the latest industry trends, research advancements, and best practices in e-commerce algorithms and after-sales optimization techniques.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager / department.
We regularly review our hybrid work model, and the specific requirements may change at any time.
Minimum Qualifications- Bachelor's degree or above in computer science or related field- Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++- Solid foundation in data structures / algorithms, proficient in machine learning / deep learning theory, and rich practical experience- Familiar with 1-2 areas in Uplift Model, Causal Inference model, Causal Forest, GBDT Preferred Qualifications- Excellent analytical and problem-solving skills, passionate about challenging problems- Good team spirit and strong communication skills
Senior Machine Learning Engineer - ASE Enterprise
Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to work on products that are used globally every single day? Do you love applying machine learning methodology to solve novel problems? Do you want to have significant cross...
Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2025 Start (MS)
Deep understanding of machine learning, statistics, scaling distributed computing, and big data engineering. Demonstrated software engineering experience from previous internships, work experience, coding competitions, or publications. Design and implement cutting-edge machine learning algorithms to...
AIML - ML Engineer, Machine Learning Platform & Infra
Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. Mentor and guide engineers in the organization. Have experience with high throughput services particularly at supercomputing scale. Familiar with fundamental Deep ...
Machine Learning Research Engineer
The ideal candidate has at least two years experience working in audio machine learning, experience deploying deep learning models to production, and a love for programming and music. Full Time] Machine Learning Research Engineer at Uberduck (United States). Machine Learning Research Engineer. Uberd...
(General Hire) Machine Learning Engineer Graduate (TikTok Recommendation) - 2025 Start (BS/MS)
Experienced in Machine Learning, familiar with at least one Deep Learning framework, e. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. Deliver end-to-end machine learning solutions to address c...
Machine Learning Engineer, Agent Simulation
The Agent Simulation group at Zoox is in search of machine learning engineers to play a crucial role in enhancing agent behaviors, assessing performance, and developing tools to prioritize simulation results. Experience with production machine learning pipelines: dataset creation, training framework...
Machine Learning Engineer - AML Algorithm
About the team:The Applied Machine Learning (AML) team serves as ByteDance's central AI organization. Participate in the application and optimization of machine learning algorithms in products such as Douyin (TikTok) and Toutiao. We conduct focused research and engineering, with the support of massi...
Machine Learning Engineer - E-commerce Risk Control
Ability to think creatively and solve problems Preferred Qualifications:- A PhD in CS, Machine Learning, Statistics, Operations Research, or relevant field- 3+ years of industry experience in predictive modeling and analysis- Experience collaborating with product, operations and engineering teams is...
Software Engineer Intern - Doubao (Seed) - Machine Learning System - 2025 Summer (PhD)
Team IntroductionThe AML Machine Learning Systems team provides E2E machine learning experience and machine learning resources for the company. Responsibilities- Research and develop key components of machine learning systems, including distributed frameworks, cluster scheduling, storage systems, et...
Principal Machine Learning Engineer, Ad Ranking
We’re looking for a Principal Machine Learning Engineer to join the Ad Ranking team at Snap!. Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain. Experience developing and shipping performa...