Software Engineer III, Research, Education

Minimum qualifications:
Bachelor’s degree or equivalent practical experience.

2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience with Python.

Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.

Experience in developing a data-based product and a user-facing product.
Experience with ML/NLP.
Ability to 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. In this role, you will work on developing core educational abilities (e.g., question generation) that build toward entire educational experiences. Team members work on all stages of the technology development, from data collection and modeling to the necessary infrastructure to support the development and integration.

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/Machine Learning technologies.
Work closely with other research groups on collaborative research efforts.
Work closely with product groups to deliver ML solutions to products.
Develop infrastructure needed to support model development and serving.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.