Senior Software Engineer, Research
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 5 years of experience with software development in one or more programming languages (e.g., Python, C++, JavaScript), and with data structures/algorithms.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience in developing a data-based product.
- Experience in Machine Learning (ML)/NLP.
- Ability to be a collaborative team player and comfortable working with multiple cross-functional partners.
- Ability to be a technical mentor and propose, initiate and lead new concrete multi-month projects.
- Passion for conversational education.
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.
We are a research team of Engineers and Research Scientists who work together toward the development of exciting and society-benefiting conversational education experiences. As part of the team, you will work on developing core educational abilities (e.g., question generation) that build towards entire educational experiences (e.g., quiz me journey with nuanced feedback and guidance).
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
- Develop in-house Natural Language Processing (NLP)/Machine Learning (ML) technologies.
- Work closely with other research groups on collaborative research efforts.
- Develop infrastructure needed to support model development and serving.
- Work closely with product groups to deliver ML solutions to products.
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If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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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