Machine Learning Researcher

July 25

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EliseAI

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Our advanced AI technology can manage hundreds of conversations and operational processes.

AI • Automation • Housing • Machine Learning • Conversational AI

51 - 200

Description

• Develop and refine machine learning models to predict outcomes such as tenant engagement and leasing likelihood. • 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

• Advanced degree (Master’s or Ph.D.) in Mathematics, Theoretical Physics, Computer Science, or a related field. • Strong foundation in machine learning algorithms, statistical analysis, and data modeling. • Proven track record of developing and implementing machine learning models, preferably in an academic or research setting. • 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. • Ability to work on a contractor basis, providing flexibility in hours and project engagement.

Benefits

• Growth and impact. It’s not often that you can get in on the ground floor of a funded startup that’s scaling. • Instead of following a playbook, you’ll be writing it. • Every single day you will be challenged to identify how we can scale and execute on it. • You’ll learn what works when you succeed and what doesn’t when you fail. • The rest of the team will be here to support you.