Senior Software Engineer, Machine Learning, YouTube

1 - 5 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: As a back-end engineer at Google, you will be utilizing your expertise in Machine Learning to combat abuse and ensure user safety. Your role will involve collaborating with domain expert analysts to set up data pipelines, develop machine learning models, and enhance automated review and detection systems. You will also work on integrating online/offline systems with various Google platforms to gather signals, features, and verdicts. Additionally, you will lead projects across different teams within the organization, providing guidance on solutions and execution. Key Responsibilities: - Utilize Machine Learning knowledge to combat abuse and enhance user safety. - Perform integrations with various Google systems for signal gathering and feature extraction. - Collaborate with domain expert analysts to set up data pipelines and machine learning models. - Develop and improve automated review and detection models. - Lead projects across different teams, providing guidance on solutions and execution strategies. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 5 years of experience in software development with expertise in one or more programming languages, data structures, or algorithms. - 3 years of experience with Machine Learning/Artificial Intelligence algorithms and tools, or natural language processing. - 3 years of experience in testing, maintaining, or launching software products. - 1 year of experience in software design and architecture. - Experience with machine learning concepts such as supervised and unsupervised learning, clustering, anomaly detection, and Large Language Model fine-tuning. - Proficiency in data analysis and Machine Learning frameworks like Numpy, Scikit-learn, pandas, SQL, or Matplotlib. - Proficiency 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.,

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