Назад
Company hidden
2 дня назад

Machine Learning Engineer

165 000 - 200 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Machine Learning Engineer (Recommendations/Classification): Building scalable machine learning systems for a high-traffic online art community with an accent on recommendation and classification algorithms, production deployment, and large-scale data processing. Focus on designing end-to-end pipelines from data ingestion to serving results, applying large language models, and ensuring reliable cloud-based infrastructure.

Location: Hybrid in the Greater Vancouver Area, BC; work from home most of the week with mandatory office attendance in Vancouver every Thursday. Candidates must currently be located in the Greater Vancouver Area.

Base compensation: CAD 165,000–200,000 per year, plus company RSUs.

Company

DeviantArt is an online social network for artists and art enthusiasts, with more than 115 million registered users and tens of thousands of original art pieces uploaded daily; its Artificial Intelligence team develops solutions for user experience, artistic creativity, and safe platform interactions.

What you will do

  • Develop and improve recommendation and classification algorithms to enhance user experiences.
  • Design, implement, and deploy reliable machine learning systems for a high-traffic online art community.
  • Build end-to-end systems covering data ingestion through production serving of results.
  • Apply current developments in data and machine learning engineering to platform systems and goals.

Requirements

  • 5+ years of experience in machine learning or closely related disciplines.
  • Understanding of machine learning algorithms, especially recommendation and classification.
  • Experience designing and deploying cloud-based production systems.
  • Expertise with large-scale data processing and machine learning infrastructure.
  • Familiarity with Python, Apache Spark, AWS, and PyTorch.
  • Knowledge of large language models and their applications to recommendation and classification.
  • Current, valid work authorization to work legally in Canada without requiring employer sponsorship now or in the future.

Nice to have

  • Experience with serverless approaches or large-scale search engines such as Elasticsearch or Vespa.

Culture & Benefits

  • Hybrid work model combining focused remote work with in-person collaboration.
  • Company RSUs in addition to base compensation.
  • Collaborative, high-performing teams focused on innovation and AI-enabled products.
  • Equal opportunity workplace intended to provide an inclusive environment.

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