Machine Learning Researcher

July 25, 2024

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EliseAI

EliseAI is a technology company that specializes in providing AI-powered solutions for the real estate and property management industries. Their platform, featuring products like LeasingAI, ResidentAI, and EliseCRM, offers a comprehensive set of tools for managing leasing inquiries, scheduling tours, and handling resident interactions, including maintenance requests and lease renewals. EliseAI integrates advanced conversational AI to streamline operations for property managers, ensuring 24/7 communication across multiple channels like phone, text, and chat. With these solutions, EliseAI aims to enhance the efficiency of property management operations and improve the experience for both prospects and residents.

AI • Automation • Housing • Machine Learning • Conversational AI

📋 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.

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