Junior Research Scientist, EliseAI
$150-280k
Plus equity
Agentic AI for housing & healthcare
Job no longer available
Agentic AI for housing & healthcare
501-1000 employees
Job no longer available
$150-280k
Plus equity
501-1000 employees
Company mission
To improve business efficiency without sacrificing human connection, and to make quality housing more accessible.
Role
Who you are
- EliseAI invites top-tier professionals in Machine Learning and adjacent disciplines to join our team
- This position is perfectly suited for individuals with a robust mathematical and quantitative foundation—this includes, but is not limited to, mathematicians, theoretical physicists, and computer scientists—who are eager to apply their knowledge to tangible challenges
- If you thrive in a vibrant startup setting and are keen to apply your academic expertise to innovative applications, we encourage you to connect with us
- Ph.D. in Mathematics, Theoretical Physics, Computer Science, or a related field
- Strong foundation in machine learning algorithms, statistical analysis, and data modeling
- 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
What the job involves
- Note: For this position, we will conduct a 1-month trial period before transitioning to full-time employment
- As a research scientist at EliseAI, you will engage in groundbreaking research on machine learning and large language models, develop predictive models to advance our AI capabilities, and much more
- Develop and refine machine learning architectures optimized for advanced conversational flow
- 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
Technology that enables contactless human interaction has thrived in recent years, greatly impacting industries such as real estate and healthcare. EliseAI, previously known as MeetElise, supplies AI agents for real estate and healthcare, enabling these industries to better serve and communicate with the public.
The company began by targeting the real estate industry with an AI-powered leasing agent software. Its machine learning capabilities fill communication gaps between agents and clients, in addition to providing mixed reality solutions for digital property viewings. The success of this venture saw 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.
In 2025, ElisAI raised $250 million in funding that supported its expansion into the healthcare sector, with funds being invested in product innovation and the growth of its team across its offices. The valuation that accompanied this funding was double the last, showcasing the company's impressive trajectory so far.
Freddie
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2025
$250m
SERIES E
Aug 2024
$75m
SERIES D
Total funding: $391.9m
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 & Co-Founder)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 & Co-Founder)Studied Computer Science at the University of Cambridge, graduating in 2014. Co-founded Influencers Required with Minna.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job