Job DetailsFull-timeEstimated: $100,000 – $130,000 a year17 hours ago
PhD in Computer Science, technical field, or equivalent practical experience.
Programming experience in C, C++, or Python.
Experience publishing papers in technical fields and with research communities and efforts.
Experience with deploying machine learning algorithms to real-world applications.
Experience in developing machine learning algorithms for ecology or sustainability applications.
Experience working with NGOs, SMEs, public and private sector organizations, and academics.
Experience with participatory design.
Experience in earth observation.
About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work.
As a Research Scientist, you’ll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you’ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
AI for Nature and Society (AI4NS) is a research initiative to harness and sustainably scale ecosystem services through machine learning (ML) research.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world’s fast-paced business needs.
Set the short-term and long-term research agenda.
Define and coordinate Product Area-level and company-level strategy for AI research pertaining to nature and society.
Propose impactful ideas to launch efforts, work on prototypes, and grow the team, while also guiding several ongoing AI projects within the areas of nature and society.
Identify partners for the project to achieve global impact.
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.