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1 день назад

Ai/Ml Engineer

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Ai/Ml Engineer (AI): Building and deploying scalable machine learning systems and infrastructure for a media content platform with an accent on low latency, real-time cultural trend analysis, and multimodal AI. Focus on designing scalable ML pipelines, optimizing model performance, and integrating AI capabilities into production environments.

Location: Remote with offices in Berlin, New York, London

Company

hirify.global is a startup revolutionizing media and entertainment by creating art through technology, backed by top VCs and world-class investors.

What you will do

  • Build and deploy production ML models within the content and product ecosystem
  • Design scalable ML infrastructure and pipelines for massive media datasets
  • Implement inference systems for content optimization across multiple verticals
  • Fine-tune and deploy multimodal AI systems using MLOps best practices
  • Collaborate with data science teams to transition research models into production-ready systems
  • Optimize model performance for cost efficiency while maintaining accuracy and speed
  • Integrate ML capabilities into existing platforms and build APIs for model consumption

Requirements

  • Location: Remote work with presence in Berlin, New York, or London preferred
  • 3+ years of ML engineering experience building production systems
  • Expertise in Python, ML frameworks, and cloud platforms
  • Experience with MLOps tools including Docker, Kubernetes, model versioning, and monitoring
  • Ability to architect complex ML systems independently and collaborate across teams
  • Passion for media, music, video, or social media

Culture & Benefits

  • Early employee with significant impact and leadership opportunities
  • Competitive salary and equity ownership
  • Fully remote work with global offsites for team bonding and strategy
  • Flat hierarchies and respect for individual contributions

Hiring process

  • Take-home case study to showcase skills
  • 90-minute case interview discussion
  • Online motivational and aptitude assessments
  • 90-minute interview with the CEO
  • Team interview(s)
  • Offer, contract signing, and onboarding

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