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1 день назад

Machine Learning Engineer (AI)

80 000 - 120 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
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

Machine Learning Engineer (AI): Enhancing the quality of ranking systems for search, browse, and autocomplete experiences, focusing on relevance, personalization, and diversification. Focus on building state-of-the-art ranking algorithms to improve user experience and drive key business metrics while ensuring solutions can be deployed in real-time environments with high-throughput and low-latency.

Location: Fully remote

Salary: $80,000 - $120,000 USD

Company

hirify.global is the next-generation platform for search and discovery in e-commerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit.

What you will do

  • Design and develop ML-based ranking solutions to enhance search engine ranking systems.
  • Improve ranking quality by analyzing ranking performance and identifying gaps in user experiences.
  • Propose new machine learning models, algorithms, and features to advance the ranking pipeline.
  • Collaborate with technical and non-technical business partners to develop/update ranking functionalities.

Requirements

  • At least 4 years of experience with Python for machine learning and backend development.
  • At least 4 years of experience developing, deploying, and maintaining machine learning models with a strong focus on ranking systems.
  • Experience in large-scale ML model training, evaluation, and optimization, with a focus on real-time inference and serving.
  • Experience with big data frameworks such as Spark for processing large datasets and integrating them into ML pipelines.
  • Proficiency in using tools like SQL, PySpark, Pandas, and other frameworks to extract, manipulate, and analyze data.
  • Excellent English communication skills.

Culture & Benefits

  • Unlimited vacation time.
  • Fully remote team.
  • Work from home stipend.
  • Training and development budget.
  • Maternity & Paternity leave for qualified employees.

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