Machine Learning Engineer

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com. To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. About AppLovin AXON AXON powers the world's largest mobile app advertising product, supports AppLovin's new e-commerce advertising product, and provides recommendation system services to third-party customers through AXON Connect. A Day In The Life We are looking for a talented and passionate machine learning engineer to join our Research Science team. You will focus on machine learning model optimization and performance improvement in advertising technology, aiming to improve the effectiveness and efficiency of advertising. The ideal candidate should not only have excellent academic and technical background, but also be able to play an active role in teamwork, continuously track and apply cutting-edge technologies, and independently discover and solve problems. The Impact You’ll Make Develop and improve machine learning models related to advertising delivery to enhance the model’s prediction accuracy and effectiveness. Work with cross-functional teams to improve data pipelines, optimize model inference performance, and improve monitoring systems. Proactively discover potential problems and optimization space in the advertising delivery system and propose feasible solutions. Design and execute experiments to verify assumptions and optimize model and system performance. Work closely with our talented machine learning engineers, data scientists, and software engineers to seamlessly integrate your solution into our platform. Who You Are Possess a master's or doctoral degree in computer science, mathematics, statistics, machine learning or other related fields. Solid theoretical foundation and practical experience in machine learning, familiar with common machine learning algorithms and tools (such as Python, TensorFlow, PyTorch, etc.). Have practical experience in model optimization and inference performance optimization, and understand relevant technologies and methods. Excellent teamwork skills, good at communication and collaboration, able to actively contribute in the team. Strong willingness to learn and the ability to independently discover and solve problems, and the ability to quickly adapt to technological changes. Additional Strengths Previous experience in advertising technology or related field. Experience in C++ development. Applicants who have published papers on recommendation systems or advertising at top conferences (such as KDD, NeurIPS, SIGIR, Recsys, etc.) will be given priority. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics.

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