> Markdown version of [/jobs/ext/4682399-machine-learning-engineer-app-ads-and-gaming](https://www.wearedevelopers.com/jobs/ext/4682399-machine-learning-engineer-app-ads-and-gaming). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer, App Ads and Gaming - **Company:** Tiktok Inc - **Location:** San Jose, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Mxnet, Data Analysis, C++ (Programming Language), Computer Engineering, Distributed Systems, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Recommender Systems, Tensorflow, Software Engineering, Feature Engineering, Pytorch, Information Technology, Software Coding - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-app-ads-and-gaming-san-jose-ca--93b92b6a-a81c-4f50-92ac-4fc76dcf7ae0 ## About the Role Machine Learning, Game Software, Machine Learning, Online Advertising, Scalable System Development, Distributed Computing, Algorithms, Large-Scale Systems, Software Engineering, Game Software, * BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. * 3+ years of hands-on experience with applying machine learning methods for ranking. * 3+ years of software development experience and strong coding skills, especially in Python/C++. Experience with Tensorflow/PyTorch/MXNet is a plus. * Experience with recommender system projects. * Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics. * Curiosity toward new technologies and entrepreneurship. ## Description * Work on the development of a large-scale App Ads delivery system and improve its accuracy. * Explore multi-stage ranking models, conduct data analysis, develop feature engineering. * Participate in the innovations of core App Ads systems using machine learning models, ranking algorithms, etc. * Partner with product managers, data scientists and product strategy & operation team to launch new App Ads products and features. Minimum Qualifications