Research Scientist, AnthroKrishi

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.

• 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.

• 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.