Senior Research Scientist

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, Data science techniques, Large Language Models - LLMs, Machine learning techniques, Python Programming, R Programming

Job Description

About The Role

EliseAI is seeking world-class expertise in Machine Learning and related fields to join our team on a consultancy basis. This role is ideal for academics with a strong mathematical and quantitative background, including but not limited to mathematicians, theoretical physicists, and computer scientists, who are passionate about applying their expertise to real-world problems. As an EliseAI consultant, you will work on cutting-edge research in machine learning and large language models, develop predictive models to enhance our AI capabilities, build controlled systematic analysis of large data, and more. If you are excited about leveraging your academic background in a dynamic startup environment, we want to hear from you.

Key Responsibilities

• 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

• Ph.D. in Mathematics, Theoretical Physics, Computer Science, or a related field.
• Strong preference for candidates with an established academic record.
• 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.

Why Join

Growth and impact. It’s not often that you can get in on the ground floor of a funded startup that’s scaling. That means that 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. Either way, the rest of the team will be here to support you.