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10 часов назад

Data Scientist II (Computer Vision)

140 000 - 170 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist II (Computer Vision): Building and improving machine learning models for document verification with an accent on document classification, image quality assessment, and fraud detection. Focus on implementing deep learning architectures, owning end-to-end ML pipelines, and optimizing model performance for production.

Location: Remote (US). Note: Employer cannot provide support for H1, F1, or OPT visas

Salary: $140K – $170K

Company

hirify.global is building the identity trust infrastructure for the digital economy to verify identities and stop fraud in real time.

What you will do

  • Develop and maintain ML models for document classification, field extraction, and fraud detection.
  • Implement and evaluate deep learning architectures, including CNNs and transformer-based models.
  • Own end-to-end ML pipelines from data preparation to production deployment.
  • Perform error analysis and model diagnostics to propose data-driven improvements.
  • Collaborate with engineering and product teams to ensure reliability and performance.
  • Write maintainable production-quality code and contribute to shared ML tooling.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 5 years of professional experience in machine learning or data science.
  • Proficiency in Python and ML frameworks like PyTorch or TensorFlow.
  • Experience applying CNNs and transformer-based models in real-world computer vision systems.
  • Strong understanding of ML fundamentals, including regularization and transfer learning.
  • Must have valid US work authorization (no H1, F1, or OPT support provided).

Culture & Benefits

  • Competitive salary with equity and bonus offers.
  • High-responsibility environment with a high technical bar.
  • Opportunity to solve complex, high-impact problems in the identity trust domain.
  • Remote work setup within the US.

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