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18 часов назад

Software Engineer (Machine Learning)

170 000 - 280 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer (Machine Learning): Building reliable, scalable data processing systems and developer-facing CLI and web experiences for machine learning applications with an accent on TypeScript, Python, Go, React, and distributed systems. Focus on productionizing the core platform, exposing functionality to data scientists, and solving complex problems involving compilers, query planners, and high-performance infrastructure.

Location: San Francisco, United States; on-site in the office 5 days a week. This is not a hybrid role.

Salary: $170K–$280K plus equity.

Company

hirify.global is building a high-performance data platform for machine learning applications, focused on reducing complexity, latency, and scalability barriers.

What you will do

  • Work directly with the co-founders to productionize the first iteration of the platform.
  • Write TypeScript, Python, Go, and React.
  • Expose core platform functionality to data scientists and machine learning users in their own environments.
  • Build and maintain reliable data processing systems that perform at scale.
  • Develop user-facing CLI and web experiences with strong usability.
  • Iterate rapidly on the platform in response to customer needs.

Requirements

  • 4+ years of professional software engineering experience.
  • Working knowledge of computer science fundamentals and experience building and maintaining real systems.
  • Experience developing sophisticated, user-facing applications.
  • Strong attention to user experience and ability to learn new concepts quickly.
  • Ability to work autonomously, make pragmatic trade-offs, and focus on business outcomes.
  • Strong communication skills and a bachelor's degree in computer science or equivalent experience.

Nice to have

  • Experience implementing data infrastructure.
  • Experience working with developer tools.
  • Experience with applied machine learning or data analytics.
  • Experience with Go.

Culture & Benefits

  • Early-employee opportunity at a high-growth startup.
  • High degree of autonomy and ownership.
  • Direct collaboration with the co-founders.
  • Equity included in the compensation package.
  • Flexibility is available for unavoidable conflicts, while the standard arrangement remains fully on-site.

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