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22 часа назад

Principal Software Engineer, Algorithmic Traffic Acquisition

170 000 - 212 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Ireland
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
Principal Software Engineer, Algorithmic Traffic Acquisition (AI/recommendation systems): Building scalable recommendation systems that personalize vehicle discovery across search, listings, saved cars, and AI-powered experiences with an accent on ranking, machine learning productionization, experimentation, and distributed systems. Focus on setting architecture across teams, improving reliability and observability, and solving complex challenges in high-volume consumer recommendation services.

Location: Flexible hybrid model; in-person interviews may be required, particularly for positions based in Boston and Dublin.

Annual base salary / OTE: $170,000–$212,000 USD, plus potential bonuses, incentives, and RSUs.

Company

hirify.global operates a large automotive marketplace that helps consumers search for vehicles, compare options, and navigate the car-buying journey.

What you will do

  • Set the technical direction and architecture for the recommendation platform across multiple engineering teams.
  • Build scalable recommendation systems using shopper, vehicle, inventory, and behavioral signals.
  • Partner with Data Science to productionize models and improve recommendation quality.
  • Drive personalization, ranking, experimentation, and AI-powered recommendation experiences.
  • Lead complex cross-functional initiatives from technical design through delivery and measurement.
  • Improve reliability, scalability, observability, and operational excellence while mentoring engineers and contributing code.

Requirements

  • 10+ years of software engineering experience building and operating large-scale, customer-facing systems.
  • Bachelor’s degree in Computer Science, Engineering, or a similar field.
  • Deep expertise in software architecture, distributed systems, APIs, and production engineering.
  • Strong experience with Kotlin, Java, C#, Python, SQL, and relational databases; Kotlin is preferred.
  • Experience with Data Science or ML teams, recommendation or personalization systems, machine learning platforms, feature pipelines, experimentation, and model evaluation.
  • Experience with cloud-native architectures, event-driven systems, streaming data, high-volume services, technical leadership, mentoring, and cross-functional influence.

Culture & Benefits

  • People-first culture focused on kindness, collaboration, innovation, and career growth.
  • Flexible hybrid work model and robust time-off policies.
  • Equity for all employees, professional development programs, employee resource groups, and corporate giving programs.
  • Benefits include daily free lunch, a new car discount, meditation and fitness apps, and commuting cost coverage.
  • In-person interviews may be required, with advance notification; travel expenses are the candidate’s responsibility.

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