About AppLovin
Empowering app developers through targeted marketing
Key Highlights
- Headquartered in Palo Alto, CA with 501-1000 employees
- $408.1 million raised in funding
- Acquired Moboqo and Wurl to expand offerings
- Portfolio attracts tens of millions of users daily
AppLovin, headquartered in Palo Alto, CA, is a leading marketing platform for app developers, helping them grow their mobile app ecosystem. With over 501-1000 employees, AppLovin has raised $408.1 million in funding and operates a mobile ad network that delivers personalized ads to millions of users...
🎁 Benefits
AppLovin offers 100% company-paid health benefits for employees and their dependents, flexible time off, and an employee stock purchase plan. Addition...
🌟 Culture
AppLovin fosters a team-centric culture focused on innovation in the mobile gaming and advertising space. The company emphasizes a data-driven approac...
Skills & Technologies
Overview
AppLovin is seeking a Research Scientist to develop and improve machine learning models for advertising technology. You'll work with Python, TensorFlow, and PyTorch to enhance model performance and accuracy. This role requires a strong background in machine learning and collaboration with cross-functional teams.
Job Description
Who you are
You hold a master's or PhD in computer science, mathematics, statistics, or a related field, and possess a solid foundation in machine learning theory and practical experience. Your familiarity with common machine learning algorithms and tools, such as Python, TensorFlow, and PyTorch, sets you apart. You have hands-on experience in model optimization and inference performance enhancement, demonstrating your understanding of relevant techniques and methodologies. You thrive in collaborative environments, actively contributing to team efforts while continuously tracking and applying cutting-edge technologies. You are proactive in identifying potential issues and optimization opportunities within advertising systems, and you are skilled at designing and executing experiments to validate hypotheses and improve model and system performance.
Desirable
Experience with large-scale data processing and familiarity with cloud computing platforms would be advantageous. A passion for innovation and a desire to leverage technology to drive business growth are essential traits for success in this role.
What you'll do
In this role, you will develop and enhance machine learning models related to advertising performance, focusing on improving prediction accuracy and effectiveness. You will collaborate with cross-functional teams to refine data pipelines, optimize model inference performance, and enhance monitoring systems. Staying abreast of the latest advancements in machine learning and advertising technology, you will assess their potential impact on the company's business. You will apply the latest research findings to practical projects, driving technological innovation within the organization. Your proactive approach will involve identifying potential issues and optimization areas within the advertising system, proposing feasible solutions, and designing experiments to validate your hypotheses and optimize performance.
What we offer
At AppLovin, you will have the opportunity to work alongside some of the brightest developers in the industry, contributing to the creation of the best advertising systems and infrastructure. We foster a culture of bold innovation and engineer-driven values, encouraging you to leverage your skills to create wealth and change the world. Join us in making a significant impact in the advertising technology space, where your contributions will directly translate into visible business growth.
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