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8 дней назад

Machine Learning Engineer III (Routing)

102 000 - 153 000$
Формат работы
remote (только Poland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Machine Learning Engineer III (Routing): Designing and delivering highly trafficked recommendation systems for a routing cost engine with an accent on ML pipelines, geospatial algorithms, and large-scale data processing. Focus on optimizing distributed pipelines, building automated tuning and quality tools, mentoring engineers, and maintaining 24/7 system availability.

Location: Remote in Poland

Annual compensation: $102,000–$153,000 USD

Company

hirify.global provides real-time location technology, including maps, navigation tools, data, SDKs, and APIs for location-aware businesses.

What you will do

  • Lead end-to-end feature implementation across the Routing Cost team and the broader navigation organization.
  • Design, build, and optimize machine learning and data pipelines.
  • Develop automated quality assurance, data exploration, tuning, and outlier detection tools.
  • Apply geospatial algorithms and collaborate with data scientists to improve movement and traffic models.
  • Mentor engineers and participate in code and design reviews.
  • Participate in a 24/7 on-call rotation, including occasional responses outside normal working hours.

Requirements

  • 8–10+ years of backend and machine learning engineering experience.
  • Extensive experience with Python, distributed processing pipelines such as Hadoop, Spark, Airflow, and Dask, and very large datasets.
  • Experience with statistical analysis, data quality control, storage optimization, and cloud infrastructure.
  • Strong ownership, architecture, operational excellence, and data-informed decision-making skills.
  • Experience mentoring and leading engineering teams.
  • Strong written and verbal communication skills with the ability to collaborate across security, DevOps, data, compliance, and product functions.

Culture & Benefits

  • Supportive healthcare and parental leave.
  • Flexibility for personal and life circumstances.
  • Teaching and learning opportunities to support professional growth.
  • Commitment to a diverse and inclusive workplace.
  • AI use in engineering workflows is discussed during the interview process.

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