Джерело: CrawlJobs
Ця вакансія не має повного перекладу вибраною мовою. Нижче показано оригінальний зміст.

Junior Research Scientist

Трудовий договір Повна зайнятість Робота на місці

Дата публікації: 30.08.2026

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.

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

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; Collaborative in-office environment with an open floor plan, fully stocked kitchen, and all meals covered in the office; Unlimited vacation and paid holidays; Relocation packages
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