pythonrllmdata modelingmachine learningstatistical analysisstartupmathematicsgenerative ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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$150к-230к/год
$120к$140кмедиана$170к
По похожим ролям (49) ~ $140к/год
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Хорошая вакансия
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Роль дает возможность работать с LLM в продуктивных системах быстрорастущей AI-компании, но двухмесячный испытательный период и интенсивная офисная культура добавляют неопределенности и риска высокой нагрузки.
Высокий темп
Два месяца до найма
Работа с LLM
Крупное финансирование
?Работа в офисе
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Junior Research Scientist (AI) (Machine Learning/LLMs): Developing predictive models and machine learning architectures for advanced conversational flows and production-scale generative AI with an accent on mathematical modeling, statistical analysis, and real-world AI applications. Focus on optimizing tenant engagement, predicting behavior, analyzing AI effectiveness, and integrating machine learning models with engineering, product, and data science teams.
Location: San Francisco, United States; in-person at the office 4–5 days a week
Salary: $150,000–$230,000 per year, plus equity and benefits.
Company
hirify.global develops AI agents for housing and healthcare workflows, including apartment leasing, maintenance, healthcare scheduling, intake, and patient communication. The company is a rapidly scaling, funded startup valued at $4 billion.
What you will do
Develop and refine machine learning architectures for advanced conversational flows.
Analyze data to support decisions and improve the effectiveness of AI solutions.
Apply mathematical and machine learning techniques to optimize tenant engagement, predict tenant behavior, and improve customer interactions.
Research current developments in machine learning and AI and apply innovative approaches to products.
Collaborate with engineering, product development, and data science teams to integrate and deploy machine learning models.
Use large language models and generative AI with 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 analytical thinking and problem-solving ability applied 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 a week.
Culture & Benefits
A fast-moving, collaborative in-office environment with high autonomy and no micromanagement.
A two-month trial period precedes transition to full-time employment.
Equity, 100% covered medical, dental, and vision premiums, fully paid parental leave, commuter benefits, and 401(k).
Fitness and home services stipend, unlimited vacation, and paid holidays.
Office meals, stocked kitchen, and an open-floor-plan workplace.
Relocation packages are provided.
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