Senior Research Scientist

Senior Research ScientistEliseAI 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 ResponsibilitiesIdentify open questions in tenant engagement, conversational AI, and LLM safety; turn them into road-mapped projectsDesign experiments, build prototypes, run large-scale evaluations, and drive the project through to production launchCoach junior scientists, review code, and raise the technical bar across the teamPartner with engineering, product, and GTM to translate research outcomes into customer-visible featuresMove 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.RequirementsPh.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 recordStrong 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 settingDemonstrated ability to apply analytical thinking and problem-solving skills to real-world challengesProficiency in programming languages such as Python, R, or similar, with experience in machine learning libraries and frameworksWillingness to work in person at our office 4-5 days a weekWhy JoinGrowth 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.BenefitsIn addition to the growth and impact you'll have at EliseAI, we offer competitive salaries along with the following benefits:Equity in the companyMedical, Dental and Vision premiums covered at 100%Fully paid parental leaveCommuter benefits401k benefitsFitness & home services stipend to cover part of your expenses so you can focus on what mattersA collaborative in-office environment with an open floor plan, fully stocked kitchen, and all meals covered in the officeUnlimited vacation and paid holidaysWe'll cover relocation packages and make the move exciting, not painful!Job CompensationThe 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.