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8 дней назад

Machine Learning Graduate

121 761 - 191 525$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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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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