Senior Software Engineer, Visual Language and Multimodal Modeling corporate_fare Google place Sydney NSW, Australia Apply info_outline At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and are committed to building reconciliation through our technology, platforms, and people. We welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information. Minimum Qualifications Bachelor's degree in Electrical Engineering, Computer Science, a relevant technical field, or equivalent practical experience. 5 years of experience in software development. Experience in software engineering (e.g., C++, Python, data processing, backend development). Experience with research publications in venues like CVPR, ICCV, NeurIPS, ICML, ICLR. Preferred Qualifications: Experience with TensorFlow, Flume, computer vision libraries/frameworks, Android. Experience in face anti-spoofing, biometrics, 3D/2.5D vision, facial landmark/pose estimation. Ability to build production systems with user impact. Excellent attention to detail and problem-solving skills. About the Job Google's software engineers develop next-generation technologies that change how billions connect, explore, and interact with information and each other. Our products handle massive scale and extend beyond web search, encompassing information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, NLP, UI, and mobile technologies. As a software engineer, you will work on critical projects with opportunities to switch teams and projects as our business evolves. We value versatility, leadership, and enthusiasm for tackling new problems across the full tech stack. In this role, you will develop, prototype, and produce biometric authentication technology, supporting high-level Product Area OKRs to develop AI capabilities that accelerate product development cycles. Our mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines AI, software, and hardware to create helpful experiences, advancing technology to improve user interaction with computing. Responsibilities Explore multimodal technologies, including visual language models and learning techniques, to improve face authentication solutions. Collaborate with data teams to collect, evaluate, and label datasets (define requirements, design data collection, and labeling programs). Identify quality issues and iterate on technical solutions. Design, implement, optimize, and integrate machine learning algorithms into production systems. Google is proud to be an equal opportunity employer, committed to building a diverse workforce and fostering a culture of belonging. We provide 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 conditions. See our policies for more information. Proficiency in English is required for all roles to facilitate global collaboration. Note to recruitment agencies: Google does not accept unsolicited resumes or agency resumes. We are not responsible for fees related to unsolicited resumes. J-18808-Ljbffr
