Applied AI Research Scientist

PranaTree is seeking an Applied AI Research Scientist with a strong research background and a proven track record in solving complex machine learning problems. The role involves developing and implementing advanced machine learning models, translating research ideas into scalable production solutions, and collaborating with engineering and product teams.

Responsibilities:

• Develop and implement advanced machine learning models across domains such as NLP, computer vision, time series, or generative AI
• Translate research ideas, competition-winning approaches, and academic insights into scalable production solutions
• Design and run experiments with strong statistical rigor, including feature engineering, model tuning, and ensemble techniques
• Leverage competition-style problem solving (e.g., Kaggle) to push model performance and benchmark against state-of-the-art
• Optimize models for accuracy, generalization, and efficiency in real-world environments
• Collaborate cross-functionally with engineering and product teams to deploy and monitor models in production
• Stay at the forefront of AI research and incorporate relevant advancements into applied systems
• Document methodologies and contribute to knowledge sharing, publications, or open-source initiatives where applicable