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SalaryAbout AppLovin
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.
Fortune recognized AppLovin as one of the Best Workplaces in the Bay Area 2022, and is a Certified Great Place to Work in 2021, 2022 and 2023.
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.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on March 12, 2024.
Please see the independent bias audit report covering our use of Covey here.
AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.
