Junior Research Scientist

EliseAI • San Francisco, CA

6d • $150,000 - $230,000 • Onsite

About The Position

EliseAI is hiring a Junior Research Scientist to join its machine learning and AI research team. The role is suited to candidates with a strong mathematical and quantitative foundation who want to apply their academic expertise to practical challenges. The successful candidate will contribute to research in machine learning and large language models, develop predictive models, and advance EliseAI's AI capabilities in a fast-moving startup environment.

The position focuses on developing and refining machine learning architectures for advanced conversational flows, analyzing data to improve AI solutions, and applying mathematical and machine learning techniques to challenges such as tenant engagement, tenant behavior prediction, and customer interactions. The scientist will collaborate with engineering, product development, and data science teams to integrate and deploy models, and work with large language models on production-scale data.

The role requires working in person at the office 4–5 days per week. A two-month trial period precedes transition to full-time employment.

Requirements

• Ph.D. in Mathematics, Theoretical Physics, Computer Science, or a related field.
• Strong foundation in machine learning algorithms, statistical analysis, and data modeling.
• Ability to apply analytical thinking and problem-solving skills to real-world challenges.
• Proficiency in Python, R, or similar programming languages, with experience using machine learning libraries and frameworks.
• Willingness to work in person at the office 4–5 days per week.

Responsibilities

• Develop and refine machine learning architectures optimized for advanced conversational flow.
• Conduct analyses to support decision-making and improve the effectiveness of AI solutions.
• Apply mathematical and machine learning techniques to optimize tenant engagement strategies, predict tenant behavior, and improve customer interaction processes.
• Stay current with machine learning and AI research and apply innovative approaches to improve products.
• Collaborate with engineering, product development, and data science teams to integrate and deploy machine learning models.
• Work with large language models to apply generative AI to production-scale data.

Benefits

• Company equity.
• Medical, dental, and vision premiums covered at 100%.
• Fully paid parental leave.
• Commuter benefits.
• 401(k) benefits.
• Fitness and home services stipend.
• Collaborative in-office environment with an open floor plan, fully stocked kitchen, and meals covered in the office.
• Unlimited vacation and paid holidays.
• Relocation packages.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree