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3 дня назад

Senior/Staff Applied Machine Learning Scientist (AI)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
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

Senior/Staff Applied Machine Learning Scientist (AI): Developing and optimizing advanced ML algorithms to enhance advertising effectiveness and ROI with an accent on production-grade model deployment and scalability. Focus on designing scalable code, collaborating with data engineers for live system integration, and driving iterative improvements using historical data.

Location: Remote (Must be based in the UK)

Company

hirify.global is a leading AI-powered marketing platform specializing in programmatic advertising to help marketers reach and convert audiences with precision.

What you will do

  • Lead the creation and optimization of advanced machine learning algorithms to enhance advertising ROI.
  • Own the end-to-end development of production-grade ML models, from research to deployment.
  • Write efficient, scalable code and collaborate with Data Engineers to integrate algorithms into live systems.
  • Drive prototyping and rigorous testing of innovative algorithms and data pipelines using historical data.
  • Lead iterative improvements based on data-driven insights to solve challenges in traffic and scalability.

Requirements

  • 3+ years of industry experience.
  • Masters or PhD in Computer Science, Statistics, Operations Research, or a related field.
  • Comprehensive understanding of statistics, optimization, and machine learning.
  • Proficiency in coding, data structures, and algorithms.
  • Ability to decompose ambiguous tasks into actionable steps.
  • Must be based in the United Kingdom.

Nice to have

  • Dual degrees in relevant technical fields.

Culture & Benefits

  • Competitive salary and pension/401K savings options globally.
  • Paid time off packages, including your birthday off.
  • Comprehensive health and mental health care programs from day one.
  • Work-from-home reimbursements and optional global WeWork membership.
  • Robust training, onboarding, and support for personal development (conferences, courses, books).
  • Supportive, diverse, and inclusive culture with regular social and team events.

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