About EliseAI
EliseAI develops cutting-edge conversational AI technology for industries fundamental to our lives: housing and healthcare. Everything is built on the foundation of health and home. Broken systems or ineffective processes in these domains have a disproportionate impact on our quality of life and societys overall wellbeing. Conversely, any solution or technology that solves problems in these areas will have an impact that ripples far beyond them.
Thats the only kind of impact we are interested in having at EliseAI. If you get excited by the thought of working really hard on these kinds of problems, then EliseAI is the right place for you.
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. Its not often that you can get in on the ground floor of a funded (unicorn!) startup thats scaling. That means that instead of following a playbook, youll be writing it. Every single day you will be challenged to identify how we can scale and execute on it. Youll learn what works when you succeed and what doesnt when you fail. Either way, the rest of the team will be here to support you.
Job Compensation:
For this position, we offer a highly competitive hourly salary. Exact compensation is determined based on a number of factors including experience, skill level, location and qualifications which are assessed during the interview process.
EliseAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Note: this is a remote role only
If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected].
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