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Research Scientist
Confirmed live in the last 24 hours
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
Pytorch
Python
Operations Research
Requirements
  • A demonstrated record of capabilities in formulating research projects, executing said projects, and communicating their results and impact to stakeholders
  • Comfort in navigating ambiguous, complex, evolving environments with significant autonomy
  • Ph.D. or 5 + years of domain expertise in artificial intelligence (including machine learning) in geospatial and spatiotemporal analytics as they apply to disciplines like agricultural, ecological, earth, and/or climate systems
  • Theoretical and applied experience with programmatic processing of geospatial data and common data structures like tensors, including reprojection and set operations with tools similar to GeoPandas and rioxarray
  • Data science and ML engineering experience to implement and test new algorithms, methods, and frameworks, preferably with a high level of competency in Python and experience with at least one ML framework like PyTorch
  • Capability to temporarily flex into Data Scientist or ML Engineer roles as business needs demand
  • An impact-first mindset with focus on driving outcomes by graduating research deliverables to development and production
  • Motivation and fortitude to work on solutions to society's grand challenges, namely food security and climate change
Responsibilities
  • Initiate the design, development, execution and implementation of technology research projects with a focus on geospatial analytics, including but not limited to land use classification, weather or earth system emulation and forecasting, and data assimilation
  • Conclusively evaluate the applicability of scientific advances, particularly those in machine learning and artificial intelligence to meet business needs
  • Identify promising technical approaches, and implement and test proofs-of-concepts to advance improved processes and technologies through to development and production for use by other teams
  • Provide internal consultation and strategic thought leadership as they pertain to technical solutions in ML (including DL) for geospatial applications and spatiotemporal analytics
  • Maintain substantial knowledge of state-of-the-art principles and theories, and provide industry intellectual leadership for artificial intelligence in agriculture
  • Identify new avenues of research by interacting with collaborators, assess required timelines and resources required, and help develop long-term research strategy
Desired Qualifications
  • Interest in developing systems science to relate food systems, climate change, and operations research to improve global food security
  • Experience in applications and theory of explainable AI (XAI) and the interrelationships between explicitly implemented dynamical systems models and machine learned models
  • Cloud engineering or MLOps experience for scaling ML workflows
Gro Intelligence

51-200 employees

Agriculture & climate insight platform
Company Overview
Gro's mission is to illuminate the interrelationships between the Earth’s ecology and our human economy, the company allows users to see the big picture and act on the small details. From assessing the impact of climate change in real time to optimizing agricultural supply chains, Gro’s data, analytics, and forecast models provide the honest answers to what on earth is going on.
Benefits
  • Equity
  • Generous PTO policy
  • Health, vision, & dental insurance
Company Core Values
  • Teach
  • Ask
  • Listen
  • Always learn