Вакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$102к-153к/год
$83к$120кмедиана$210к
По похожим ролям (49) ~ $120к/год
На СНГ рынке: $4.3к/мес ($3.6к - $5.6к)
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В Company hidden четко описана старшая ML-роль с современными инструментами и сильным продуктовым контекстом, но зарплата ниже рыночного ориентира платформы, а дежурства 24/7 требуют быть на связи вне рабочего времени.
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Ниже рынкаДежурства 24/7Современный стекПонятная рольСильный продукт
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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