Research Scientist, AnthroKrishi

1 - 4 years

6 - 10 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

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.

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