Google Inc.
Software Engineer, Mobile Threat Analysis Platform, AI/ML
Google Inc., Atlanta, Georgia, United States, 30383
Software Engineer, Mobile Threat Analysis Platform, AI/ML
Google, Atlanta, GA, USA Responsibilities
Write product or system development code, including the development and productionization of advanced NLP and multimodal Large Language Models (LLM) models. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Qualifications
Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with Applied Machine Learning (ML), including the development and deployment of models. Preferred qualifications
Master's degree or PhD in Computer Science or related technical field. 2 years of experience with performance, systems data analysis, visualization tools, or debugging. 2 years of experience with data structures or algorithms in either an academic or industry setting. Experience designing, building, and launching scalable ML systems, with a focus on NLP, Multimodal AI, or Knowledge Graphs. Knowledge of application security, malware analysis, trust and safety, or privacy domains. About the job
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. Mobile Threat Analysis Platform (MTAP) builds security and privacy analysis infrastructure for Play and Android to detect malicious and abusive apps. Together with partner teams across Android, Ads, Chrome, Search, and Cloud, we help Google protect more than 3 billion users with safe experiences on our app platform and ecosystem. Android is Google’s open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices that run the best apps/services for everyone in the world. Salary: US base range for this full-time position is $141,000-$202,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location; individual pay is determined by location and factors such as job-related skills, experience, and education. Your recruiter can share the specific range for your location during the hiring process. Note: compensation details reflect base salary only and do not include bonus, equity, or benefits. EEO and employment statements
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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Google, Atlanta, GA, USA Responsibilities
Write product or system development code, including the development and productionization of advanced NLP and multimodal Large Language Models (LLM) models. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Qualifications
Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with Applied Machine Learning (ML), including the development and deployment of models. Preferred qualifications
Master's degree or PhD in Computer Science or related technical field. 2 years of experience with performance, systems data analysis, visualization tools, or debugging. 2 years of experience with data structures or algorithms in either an academic or industry setting. Experience designing, building, and launching scalable ML systems, with a focus on NLP, Multimodal AI, or Knowledge Graphs. Knowledge of application security, malware analysis, trust and safety, or privacy domains. About the job
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. Mobile Threat Analysis Platform (MTAP) builds security and privacy analysis infrastructure for Play and Android to detect malicious and abusive apps. Together with partner teams across Android, Ads, Chrome, Search, and Cloud, we help Google protect more than 3 billion users with safe experiences on our app platform and ecosystem. Android is Google’s open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices that run the best apps/services for everyone in the world. Salary: US base range for this full-time position is $141,000-$202,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location; individual pay is determined by location and factors such as job-related skills, experience, and education. Your recruiter can share the specific range for your location during the hiring process. Note: compensation details reflect base salary only and do not include bonus, equity, or benefits. EEO and employment statements
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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