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Junior Research Scientist

External
eliseai logoEliseai · San Francisco
$150K–$230K/yrFull-timeOn-site1mo ago
AccessibilityData ModelingGenerative AIMachine LearningMovePython
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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.

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.

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

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 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 CompensationHealth insuranceDental insuranceVision insurance401(k)Paid time offEquity / stock optionsPerformance bonusParental leave

Additional Information

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.


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