Junior Research Scientist develops and refines ML architectures and LLMs for conversational AI in housing/healthcare, applies advanced math/ML to predict behaviors and optimize interactions. Requires PhD in math/physics/CS or related, strong ML foundation, and onsite work.
150k – 230k/yr
On-siteML Engineering
About the role
Key Responsibilities
Develop and refine machine learning architectures optimized for advanced conversational flow
Conduct comprehensive analyses to support decision-making and improve the effectiveness of our AI solutions
Apply advanced mathematical and machine learning techniques to solve specific problems such as optimizing tenant engagement strategies, predicting tenant behavior, and improving customer interaction processes
Stay abreast of the latest research in machine learning and AI, and apply innovative approaches to improve our products
Work closely with cross-functional teams, including engineering, product development, and data science, to integrate and deploy machine learning models
Work with the latest Large Language Models to leverage the power of generative AI on production scale data
Requirements
Ph.D. in Mathematics, Theoretical Physics, Computer Science, or a related field
Strong foundation in machine learning algorithms, statistical analysis, and data modeling
Demonstrated ability to apply analytical thinking and problem-solving skills to real-world challenges
Proficiency in programming languages such as Python, R, or similar, with experience in machine learning libraries and frameworks
Willingness to work in person at our office 4-5 days a week
Compensation
Salary range: $150,000 - $230,000, plus equity and comprehensive benefits.
Skills
Machine LearningLLMsPythonRStatistical AnalysisData ModelingGenerative AI
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