Senior Research Scientist, EliseAI
AI leasing agent & assistant
Open for applications
AI leasing agent & assistant
101-200 employees
Open for applications
101-200 employees
Company mission
To improve business efficiency without sacrificing human connection, and to make quality housing more accessible.
Role
Who you are
- 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
- If you are excited about leveraging your academic background in a dynamic startup environment, we want to hear from you
- 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
What the job involves
- EliseAI is seeking world-class expertise in Machine Learning and related fields to join our team on a consultancy basis
- 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
- 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
Our take
Contactless human interaction through technology has thrived in recent years, and this has impacted the real estate industry greatly. A significant reexamination is needed in regard to how estate agents serve and communicate when in-person interactions are less feasible. EliseAI, previously MeetElise, provides AI-powered leasing agent software that aims to solve this problem.
The company deploys machine learning to fill communication gaps between agents and clients, in addition to providing mixed reality solutions for digital property viewings. The startup claims that their software increases conversion rates from traditional leasing methods and tools by more than 65%, responding instantly to 90% of custom inquiries for over 250,000 properties. 60% of the top 50 real estate businesses in the US use EliseAI, whilst 30 million residents and prospective customers have had conversations with the AI.
Estate agents across the globe have developed digital platforms to serve customers digitally. However, EliseAI presents an all-in-one solution that aims to support estate agents and their clients, regardless of whether in-person communication is possible. Funding secured by the company will be used by to propel its growth and prop up its already secured equity capital.
Freddie
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2024
$75m
SERIES D
Jun 2023
$35m
SERIES C
Total funding: $141.9m
Company benefits
- Equity
- Medical, Dental and Vision premiums covered at 100%
- FSA & HSA plans
- Commuter benefits
- 401k
- Long & short-term disability, and life insurance
- Unlimited PTO
- Up to 12 weeks fully paid parental leave
- Flexible hours
- Paid lunch
- Development opportunities
- Fitness stipend
- Social events
Company HQ
Midtown South, New York, NY
Leadership
Minna Song
(CEO)Majored in Computer Science at MIT, and studied at the University of Cambridge. Interned at Microsoft and then co-founded Influencers Required in 2014.
Stoyan Stoyanov
(CTO)Studied Computer Science at the University of Cambridge, graduating in 2014. Co-founded Influencers Required with Minna.
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