Senior Machine Learning Engineer - USDS (Multiple Positions)

About TikTok USDS Joint Venture LLC TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program. We operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.

Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day. 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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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.

About the Team Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities Formulate real-world user data modeling in statistical learning problems and work across the full machine learning (ML) modeling lifecycle, including data preparation, feature engineering, hyperparameter tuning and evaluation, and model selection based on different modeling scenarios to develop, build, and optimize the performance of large and highly scalable ML systems, algorithms, strategies, models, and/or infrastructures. Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience. Build and train ML, deep learning models and their variants to analyze and predict user behavior metrics and treatment effects with ML frameworks. Create data-driven solutions to utilize extensive user behavior datasets for ads-related applications such as ranking, targeting, bidding, calibration, and reporting. Perform statistical analysis and experimentation to iterate and enhance business decisions and improve company ads revenue. Research and design on ML models to optimize our systems, features, algorithms, and product strategies. Partner with product managers and product strategy and operation team to define product strategy and features. Collaborate with strategy team, product managers, policy team, and other key stakeholders to assist in defining products and driving initiatives from ML engineering viewpoint. Implement conversion lift studies to optimize and increase ads revenue for the company. Manage and mentor junior and mid-level team members, providing technical guidance and expertise and sharing engineering best practices.