Junior Research Scientist

• Housing: We simplify how renters tour apartments, sign leases, submit maintenance requests, and stay connected with their property team—bringing everything they need for their home into one place.

• Healthcare: We make it easy to schedule appointments, complete intake forms, and we help patients communicate with providers, so everyone can focus on health instead of paperwork.

About the Role

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. As a junior research scientist at EliseAI, you will join a fast-moving team of world-class researchers engaged in groundbreaking research on machine learning and large language models, developing predictive models to advance our AI capabilities, and much more. 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.

Note: For this position, we will conduct a 2 month trial period before transitioning to full-time employment. 

Key Responsibilities

• 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

Move at rocket speed, build something massive.

We’re scaling fast, solving real client problems with precision and ambition. Here, you own your impact; full autonomy, no micromanagement, no fluff. We hire the best, expect the best, and give you the masterclass of your career. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do. If you’re hungry, driven, and ready to build something massive, climb aboard.

Requirements

• 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

Why Join

Growth and impact. It’s not often that you can get in on the ground floor of a funded (unicorn!) startup that’s scaling so fast. 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.

• Equity in the company

• Fully paid parental leave

• Commuter benefits

• 401k benefits

• Unlimited vacation and paid holidays

Job Compensation

The salary range for this role is $150,000 - $230,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits & perks package. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process.