Real-Time Machine Learning Infrastructure Engineer

A Day in the Life

At AppLovin, we’re at the forefront of the advertising technology industry. Our cutting-edge platform connects businesses with their potential customers using advanced machine learning technologies. With state-of-the-art ML infrastructure and models, our system rivals those of industry giants. We take pride in providing top-of-the-line compensation packages in the industry and are actively seeking extraordinary machine learning engineers to join our exceptional team.

We are looking for a seasoned core infrastructure engineer with a specialization in ML infrastructure to optimize our C++ systems. In this role, you will play a pivotal part in developing cutting-edge deep learning architectures and advancing our ML infrastructure. If you’re passionate about pushing the boundaries of machine learning technology, building multi-billion dollar businesses with advanced algorithms, and are excited to work in a dynamic, innovative environment, this is the opportunity you’ve been waiting for.

The Impact You’ll Make

• Design, implement, and maintain core infrastructure components with a focus on high performance and scalability.
• Develop and optimize real-time C++ programming for critical system components.
• Utilize Torchlib, CUDA for parallel computing architecture to enhance system performance.
• Continuously improve system efficiency and reliability

Basic Qualifications

• Deep knowledge of real-time C++ programming: Expertise in writing efficient, reliable, and maintainable C++ code for real-time processing.
• Understanding of CUDA: Proficient in CUDA programming, with a strong grasp of parallel computing concepts and GPU-accelerated computing.
• System design: Experience in designing scalable and high-performing system architectures.
• CPU/GPU performance profiling: Experienced in performance profiling and optimization of CPU and GPU-based systems.
• Problem-solving skills: Ability to diagnose and troubleshoot complex system issues.
• Collaboration and communication: Strong team player with excellent communication skills to work effectively across diverse teams.
• Have a decent knowledge of python / numpy / pytorch, and can build toy models using pytorch in order to test serving systems

Preferred Qualifications

• Contributed to the Pytorch open-source project.