Machine Learning Engineer in Vancouver

Machine Learning Engineer in Vancouver

Vancouver Full-Time 165000 - 200000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and implement scalable machine learning systems for a vibrant online art community.
  • Company: Join DeviantArt, the largest social network for artists and art enthusiasts.
  • Benefits: Competitive salary, RSUs, hybrid work model, and a creative environment.
  • Other info: Work from home with one day in the Vancouver office; great career growth opportunities.
  • Why this job: Make a real impact on user experiences and foster creativity in a high-traffic platform.
  • Qualifications: 5+ years in Machine Learning, expertise in algorithms, and cloud-based systems.

The predicted salary is between 165000 - 200000 $ per year.

As a Machine Learning Engineer, you'll design and implement scalable, high-performance machine learning systems to support DeviantArt's vibrant online community. You'll play a key role in building innovative solutions that enhance user experiences and foster creativity within a high-traffic environment.

  • Develop and improve algorithms for recommendations and classification to enhance user experiences.
  • Implement and deploy reliable machine learning systems for an active online art community.
  • Build end-to-end systems, from data ingestion to serving results in production.
  • Stay up-to-date with developments in data and machine learning engineering, applying them to DeviantArt systems and goals.

Qualifications

  • 5+ years of experience in Machine Learning or closely related disciplines.
  • Understanding of machine learning algorithms, especially for recommendation and classification.
  • Experience designing and deploying cloud-based production systems.
  • Expertise with large-scale data processing and machine learning infrastructure.
  • Familiarity with Python and technologies like Apache Spark, AWS, and PyTorch.
  • Knowledge of large language models and their applications to recommendation and classification.
  • Experience with serverless approaches or large-scale search engines like Elasticsearch or Vespa – an advantage.

This is a hybrid position, and the team is expected to come to the office 1 day per week.

The DeviantArt Artificial Intelligence team focuses on developing innovative solutions to enhance user experience, support artistic creativity, and ensure safe interactions within the platform. We believe the best innovation happens when we mix deep focus work with in-person connection. While you'll work from home most of the week, we require this person to be in our Vancouver office every Thursday.

The approximate base compensation is $165,000 - 200,000 CAD. In addition to base pay you will receive company RSUs as part of the compensation package. The final offer may vary and will be determined by various factors including candidate profile and ideal qualifications.

Location: Candidates must be currently located in the Greater Vancouver Area, BC.

Work Authorization: Candidates must possess current, valid work authorization to work legally in Canada without requiring employer sponsorship now or in the future.

Machine Learning Engineer in Vancouver employer: Wix

DeviantArt is an exceptional employer for Machine Learning Engineers, offering a unique opportunity to work within the largest online community for artists and art enthusiasts. With a vibrant work culture that values creativity and innovation, employees benefit from a hybrid work model, competitive compensation, and stock options, all while contributing to meaningful projects that enhance user experiences. Located in the heart of Vancouver, the company fosters professional growth and collaboration, making it an ideal place for those looking to make a significant impact in the tech and art sectors.

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Contact Details:

Wix Recruitment Team

We think you need these skills to ace Machine Learning Engineer in Vancouver

Machine Learning
Recommendation Algorithms
Classification Algorithms
Cloud-Based Production Systems
Large-Scale Data Processing
Machine Learning Infrastructure
Python