Publié le mois dernier
Machine learning Engineer
@ Wix
Vancouver, Colombie-Britannique
En bref
Wix is hiring a Machine Learning Engineer for its DeviantArt team to design and deploy scalable recommendation and classification systems for an online art community. The role is full-time, hybrid with one in-office day per week in Vancouver, and the approximate base pay is $165,000 to $200,000 CAD plus RSUs.
Responsabilités :
- Develop and improve recommendation and classification algorithms
- Implement and deploy reliable machine learning systems
- Build end-to-end systems from data ingestion to production
- Stay current with data and machine learning engineering developments
Résumé des exigences :
- 5+ years of machine learning or closely related experience
- Experience designing and deploying cloud-based production systems
- Expertise with large-scale data processing and ML infrastructure
- Familiarity with Python, Apache Spark, AWS and PyTorch
- Knowledge of large language models for recommendation and classification
- Experience with serverless or Elasticsearch/Vespa is an advantage
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · smartrecruiters
- Date publiée par l’employeur
- 2026-10-06
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile, Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
Job Description
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.
Additional Information
The DeviantArt Artificial Intelligence team is part of DeviantArt, the largest online social network for artists and art enthusiasts. Founded in 2000 and part of Wix since 2017, DeviantArt empowers artists to exhibit, promote, and share their works with an enthusiastic, art-centric community. With over 115 million registered users and tens of thousands of original art pieces uploaded daily, DeviantArt fosters creativity and community. The 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.
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