Senior Research Software Engineer, Machine Learning, Multimodal Factuality
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience with computer vision, imaging, or augmented reality platforms.
- Experience testing, maintaining or launching software products, and with software design and architecture.
- Experience with ML/AI algorithms and tools, deep learning or natural language processing.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience in a technical leadership role.
- Experience developing accessible technologies.
- Ability to understand state of the art research, bring insights and ideas to improve the team models and technology.
- Strong background in Machine Learning in the field of multimodality, related field like Computer Vision, or Video/Image Processing.
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.
Develop models for automatic evaluation of text/image, text/video alignment, image/image frame/frame consistency in image sequence, and video generation. Apply these models for improving multimodal generation including caption generation, image and video generation, and multimodal instruction following.
Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.
Responsibilities
- Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- 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.
- Develop models and techniques for measuring and improving the alignment of video, text and image, and text models. Keep up with academic publications and bring state of the art ideas into Google products.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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