Développeur.se de recherche en apprentissage automatique sénior
- Montréal, QC
- Sur place
- Publié 16 juin 2026
- 1 poste
Ouvre un site externe
- Type d’emploi
- Temps plein
- Niveau d’expérience
- Intermédiaire · 2+ ans
- Formation minimale
- Maîtrise
- Langue de l’offre
- français
- Heures de travail
- 40 heures par semaine
Résumé du poste
Collaborate with researchers to accelerate research, training, and inference of models. Design and implement experimentation pipelines for testing scenarios and large-scale projects.
Détails du poste
Collaborate with researchers to accelerate research, training, and inference of models. Design and implement experimentation pipelines for testing scenarios and large-scale projects. A relevant degree in computer science or a related field is required, along with a minimum of 3 years of industrial experience in machine learning. Familiarity with cloud platforms and containerization tools is also necessary.
Ce que vous ferez
Collaborate with researchers to accelerate research, training, and inference of models. Design and implement experimentation pipelines for testing scenarios and large-scale projects.
Exigences
A relevant degree in computer science or a related field is required, along with a minimum of 3 years of industrial experience in machine learning. Familiarity with cloud platforms and containerization tools is also necessary.
Avantages
- Health Insurance
- Retirement Savings Contribution
- Generous Vacation
Compétences indiquées
- Collaboration · Souhaitée
- Apprentissage automatique · Souhaitée
- Documentation · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Machine Learning
- Collaboration
- PyTorch
- TensorFlow
- JAX
- Cloud Platforms
- Containerization
- Data Infrastructure
- Deep Learning
- Documentation
- Best Practices
- High Performance Computing
- Experimentation Pipelines
- Resource Optimization
- Research Contribution
- Software Development
Domaines d’emploi
- Technology
- Science & Research
- Data & Analytics
- Software
- Engineering
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