Senior Backend Engineer, Risk Systems - Machine Learning Platform

DescriptionAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. 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.The ML Platform team handles machine learning activities within the BRIC department, with two main areas of focus:1. ML Infrastructure: Encompasses model training, serving, and management.2. LLM Applications: Utilizes both third-party LLM services and self-hosted open-source models to support various application scenarios in BRIC.As a Senior Backend Software Engineer, you will:- Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.- Build modeling infrastructures, LLM applications, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.- Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.QualificationsMinimum Qualifications:- Bachelor or degrees above in Computer Science, in computer science, Computer Engineering, or other relevant, machine-learning-heavy majors.- Solid coding skills and ability to build large scale systems. Proficiency in one or more programming languages such as Golang, Java, C++, Rust; can quickly pick up others.Preferred Qualifications:- 3 years of industry experience in a software development environment. - Familiarity with machine learning infrastructure, LLM applications, or social/content platform realtime stream computing systems.- Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep learning, transfer/multi-task learning, reinforcement learning, time series or graph algorithms.- Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.TikTok 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 https://shorturl.at/cdpT2RegularExperienced