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обновлено 3 дня назад

Backend Engineer (Ranking, AI)

7 500 - 9 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
RUВакансия из Hirify RU, списка российских tech-компаний

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Описание вакансии

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TL;DR
Backend Engineer (Ranking, AI): Building and maintaining high-load, real-time machine learning services for e-commerce search and browse experiences with an accent on ranking systems, feature delivery, and cloud infrastructure. Focus on optimizing request performance, developing internal ranking platforms, and deploying reliable distributed services at global scale.

Location: Worldwide, fully remote; choose where you live

Salary: $7,500–$9,000 per month before taxes; base salary also listed as $80,000–$120,000 USD annually, depending on skills, experience, and interview results

Company

Constructor is an AI-first e-commerce search and discovery platform that helps global e-commerce brands improve product discovery, revenue, and conversion.

What you will do

  • Build, deploy, and support high-load, machine-learning-based real-time systems for search and browse experiences.
  • Develop and update ranking functionality with technical and non-technical business partners.
  • Develop the internal Ranking Platform for data scientists and machine learning engineers.
  • Optimize ranking services to process requests faster.
  • Improve feature signal delivery and retrieval for machine learning model inference.
  • Communicate with stakeholders within and outside the Ranking team.

Requirements

  • Experience designing, developing, and maintaining high-load distributed real-time cloud services.
  • Proficiency with Infrastructure as Code tools such as CloudFormation or Terraform.
  • Hands-on experience setting up and improving CI/CD pipelines.
  • Proficiency in Python; experience with C, Rust, or Go is a plus.
  • Experience with server-side web service development, API design, NoSQL and relational databases, distributed systems, and caching.
  • Experience with AWS, Azure, or GCP and excellent English communication skills.

Nice to have

  • Experience with MLOps, including delivering, loading, and serving machine learning models and related infrastructure.
  • Experience with compiled languages such as C, Rust, or Go.

Culture & Benefits

  • Fully remote work with freedom to choose where you live.
  • Regular team offsite events.
  • Unlimited vacation, with at least three weeks encouraged annually.
  • Home office stipend and an Apple laptop for new employees.
  • Annual training and development budget.
  • Maternity and paternity leave for qualified employees, plus stock options.

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