Research Scientist, AnthroKrishi
Research Scientist, AnthroKrishi
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Job Description
Snapshot
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
About us
The AnthroKrishi team at Google DeepMind is building a digital understanding of global agriculture to ensure a sustainable and food-secure future. We develop and deploy AI models that operate at a planetary scale turning satellite data into actionable intelligence. Our work helps farmers policymakers and humanitarian organizations worldwide. We are solving fundamental AI challenges to address one of humanitys greatest needs. Join us to build AI for the benefit of humanity.
The role
As a Research Scientist on the AnthroKrishi team you will develop next-generation AI to address global challenges in food security and climate change. You will lead research that pushes the boundaries of computer vision and machine learning with a direct path to impacting global agricultural systems.
Key responsibilities
Pioneering novel computer vision models to create a unified understanding of agriculture from diverse satellite data sources.
Solving core AI problems by developing generalizable models that are robust across varied agricultural systems from smallholder farms to large-scale industrial fields.
Leading research toward the grand challenge of field-level crop yield forecasting. This involves advancing spatio-temporal reasoning and learning effectively from limited or sparse data.
Designing and executing large-scale experiments writing high-quality reusable code (JAX preferred) and contributing to a production-ready system.
Mentoring junior researchers collaborating with cross-functional teams across Google and publishing your work at top-tier conferences.
About you
You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges. You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact. You are eager to see your research contribute to real-world applications and are driven by a desire to create positive change through AI.
Minimum Qualifications:
PhD or equivalent practical research experience in Computer Science AI or a related field with a focus on computer vision and/or machine learning.
A strong publication record in top-tier AI conferences (e.g. NeurIPS CVPR ICCV ICLR).
Hands-on experience building and training deep learning models in frameworks such as JAX TensorFlow or PyTorch.
In addition the following would be an advantage:
Demonstrated expertise in one or more of the following: generative models segmentation algorithms multi-modal fusion spatio-temporal analysis.
Experience with or a strong interest in remote sensing or geospatial data.
A passion for applying AI to solve large-scale societal challenges like climate change and food security.
Experience mentoring students or junior researchers.
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Employment Type
Full Time
