Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$122к-192к/год
$90к$120кмедиана$150к
По похожим ролям (48) ~ $120к/год
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Высокая зарплата, известная продуктовая компания и практическая работа с ML и генеративным ИИ делают вакансию привлекательной для старта карьеры, но обязательная работа из Сиэтла и отсутствие визовой поддержки заметно ограничивают доступ.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Machine Learning Graduate (Generative AI/LLMs): Building and evaluating machine learning models, Generative AI applications, and agentic workflows with an accent on experimentation, model quality, and product-focused technical solutions. Focus on prototyping, deploying and monitoring models, integrating LLMs with tools and product context, and solving complex multi-step problems.
Location: Seattle hub, United States; must be able to work from this hub
Base pay: $121,761–$191,525 per year, depending on the United States geographic pay zone.
Company
hirify.global develops collaboration software that helps teams organize and complete different types of work.
What you will do
Build and evaluate machine learning models and Generative AI applications.
Use data, experimentation, and feedback to improve model and product quality.
Translate customer and business problems into technical solutions with Product, Engineering, Growth, GTM, Finance, and Sales partners.
Contribute across the machine learning lifecycle, from prototyping and evaluation through deployment and monitoring.
Develop agentic workflows combining LLMs, tools, and product context to solve complex, multi-step problems.
Requirements
Must be able to work from the Seattle hub.
Not eligible for F1 or J1 students and no work sponsorship is available.
Currently pursuing a bachelor's or master's degree in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related quantitative field, with graduation by August 2027.
Experience writing reliable software in Python or Scala.
Experience applying machine learning through coursework, research, projects, or a relevant internship.
Strong problem-solving and data-driven analytical skills.
Nice to have
Familiarity with SQL or Spark.
Culture & Benefits
Hands-on technical training, professional growth opportunities, dedicated mentorship, and social connections through the Grad++ program.
Collaborative environment focused on knowledge sharing, rapid experimentation, and measurable impact.
Virtual interview process.
Health and wellbeing resources and paid volunteer days.
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