Junior Research Scientist

1 Month ago • 1-2 Years • Artificial Intelligence

About the job

Job Description

EliseAI is seeking a Junior Research Scientist to join their team and contribute to groundbreaking research on machine learning and large language models. The role involves developing and refining machine learning architectures for advanced conversational flows, conducting comprehensive analyses to improve AI solutions, applying advanced mathematical and machine learning techniques to solve real-world problems, staying abreast of the latest research in machine learning and AI, and collaborating with cross-functional teams. The ideal candidate will possess a Ph.D. in a relevant field, strong foundation in machine learning algorithms, statistical analysis, and data modeling, and experience in programming languages like Python or R. They will be expected to apply analytical thinking and problem-solving skills to real-world challenges.
Must have:
  • 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.
  • Proficiency in programming languages like Python, R, or similar, with experience in machine learning libraries and frameworks.
Perks:
  • Competitive total rewards package including base salary, equity, and comprehensive benefits & perks package.
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About EliseAI

EliseAI pioneers advanced conversational AI technologies that address core sectors: housing and healthcare. At the heart of our endeavors are health and home, essential pillars of life. Inefficiencies or breakdowns in these areas can significantly detract from both individual quality of life and societal health. Conversely, innovations that effectively address these challenges can create benefits that extend well beyond their initial scope. At EliseAI, we are committed to making precisely this type of meaningful impact. If you are driven by the prospect of dedicating yourself to such transformative work, EliseAI is your ideal workplace.

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 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. 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 1-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.

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. 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.

Job Compensation:

The salary range for this role is $150,000 - $280,000. 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.

If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at HR@eliseai.com.



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View Full Job Description
$150.0K - $280.0K/yr (Outscal est.)
$215.0K/yr avg.
Worldwide

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New York, New York, United States (On-Site)

New York, New York, United States (On-Site)

New York, New York, United States (On-Site)

New York, New York, United States (On-Site)

New York, New York, United States (On-Site)

New York, New York, United States (On-Site)

New York, New York, United States (On-Site)

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