Deep Learning Research Scientist

LCX Group is seeking a highly motivated Deep Learning Research Scientist to join our growing Artificial Intelligence & Data Science department. This full-time research position focuses on developing innovative deep learning and machine learning approaches to address real-world challenges at the intersection of artificial intelligence, agriculture, weather, and climate. We are looking for an intellectually curious, self-driven, and creative researcher who is enthusiastic about scientific discovery and translating cutting-edge research into impactful, real-world applications. The primary research objective is to develop advanced predictive models for agricultural production volumes and harvest timing, initially focusing on flowers, fruits, and vegetables. By integrating historical agricultural records with weather, climate, and environmental data, these models will support more accurate forecasting, supply chain optimization, and data-driven decision-making. Amongst the various exciting responsibilities, the ideal candidate will:

• Conduct independent research in deep learning, machine learning, and predictive modeling for agricultural applications.
• Design, develop, and evaluate novel AI models to forecast agricultural production volumes and harvest timing.
• Investigate the influence of weather, climate variability, seasonality, and environmental conditions on agricultural productivity.
• Develop forecasting models across multiple prediction horizons, ranging from days to months.
• Explore advanced deep learning architectures, including transformers, diffusion, spatiotemporal models, and other state-of-the-art approaches.
• Develop robust, dependable, and trustworthy AI models, emphasizing uncertainty quantification, interpretability, and predictive reliability to support informed decision-making.
• Collaborate with multidisciplinary teams to translate research findings into operational forecasting solutions.
• Contribute to scientific publications, technical reports, and the advancement of applied AI research within LCX Intelligence.
• Attend scientific conferences, such as AGU and AMS, to learn from leading experts, stay informed about the latest research advancements, and explore innovative approaches in AI, weather, climate, and agriculture.

Who is our ideal candidate? Ph.D. in Computer Science, or Geoscience, or Meteorology, or Agriculture with applied AI experience. Beyond technical qualifications, we value curiosity, independence, creativity, and scientific initiative. We are looking for someone who enjoys exploring new ideas, questioning existing approaches, proposing innovative solutions, and taking ownership of challenging research problems. The ideal candidate is enthusiastic about scientific discovery while recognizing the importance of developing reliable AI solutions that can make a measurable impact in real-world operations. This is a full-time, in-office role in the Doral, Florida area.