Senior Research Scientist

About EliseAI

At EliseAI, we're improving the industries that matter most: housing and healthcare. Everyone needs a place to live and access to quality healthcare, yet both are often harder to secure than they should be.

By integrating AI agents deeply into existing workflows, we make them more efficient, reduce costs, and improve the experience for everyone.

• 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.

With EliseAI, organizations reduce manual work, improve accessibility, and deliver a seamless experience across essential services. We recently raised a $250 million Series E round led by Andreessen Horowitz to accelerate this mission.

About The Role

EliseAI is seeking world-class experts in Machine Learning and related fields to strengthen our expansive research team. We are looking for candidates with outstanding mathematical and quantitative skills, robust programming expertise, and exceptional academic credentials—including but not limited to mathematicians, theoretical physicists, and computer scientists—who are passionate about applying their knowledge to solve real-world challenges.

You will be working on cutting-edge questions in machine learning and large language models, develop predictive models to enhance our AI capabilities, build controlled systematic analysis of large data, and more. As a Senior Research Scientist you will own end-to-end research initiatives that push EliseAI’s core models forward and we expect you to be able to shape the company research agenda. If you are excited about leveraging your academic background in a dynamic startup environment, we want to hear from you.

Key Responsibilities

• Identify open questions in tenant engagement, conversational AI, and LLM safety; turn them into road-mapped projects

• Design experiments, build prototypes, run large-scale evaluations, and drive the project through to production launch

• Coach junior scientists, review code, and raise the technical bar across the team

• Partner with engineering, product, and GTM to translate research outcomes into customer-visible features

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.

• Five years of post-PhD experience (either industry of academia)

• 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

• Willingness to work in person at our office 4-5 days a week

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.

Benefits

In addition to the growth and impact you’ll have at EliseAI, we offer competitive salaries along with the following benefits:

• Equity in the company

• Medical, Dental and Vision premiums covered at 100%

• Fully paid parental leave

• Commuter benefits

• 401k benefits

• Fitness & home services stipend to cover part of your expenses so you can focus on what matters

• A collaborative in-office environment with an open floor plan, fully stocked kitchen, and all meals covered in the office

• Unlimited vacation and paid holidays

• We'll cover relocation packages and make the move exciting, not painful!

Job Compensation

The salary range for this role is $200,000 - $320,000. 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.

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.

Please note that employment with EliseAI is on an "at-will" basis, which means that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [View email address on click.appcast.io](mailto:View email address on click.appcast.io)