Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages, and with data structures or algorithms.
3 years of experience with Machine Learning/Artificial Intelligence (ML/AI) algorithms and tools or natural language processing.
3 years of experience testing, maintaining or launching software products.
1 year of experience with software design and architecture.
Preferred qualifications:
Experience with machine learning, supervised and unsupervised learning, clustering, semi-supervised learning, anomaly detection, and Large Language Model (LLM) fine-tuning.
Experience with data analysis and Machine Learning frameworks like Numpy, Scikit-learn, pandas, SQL, or Matplotlib.
Experience in C++ or Python.
Knowledge of fundamental computer science concepts and Google infrastructure or Google Cloud Platform (GCP), including databases, operating systems, algorithms, and Machine Learning.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
Be a back-end engineer and demonstrate your knowledge in Machine Learning to combat abuse and keep our users safe.
Perform online/offline integrations with various Google systems to get signals, features and verdicts.
Collaborate with skilled, domain expert analysts, prepare and setup data pipelines for analysis and machine learning modeling.
Ideate, write code and make things happen to improve the automated review and detection models.
Guide projects in collaboration across other shopping horizontals teams using your Machine Learning knowledge to define the projects, solutions and guide execution.