Head of AI Operations building Supabase’s AI - native operating system for its Postgres development platform. Establishing standards, assessments, automated reporting, and company - wide AI - enabled operations.
About the role
- Spécialiste des données de vision par ordinateur optimisant les modèles IA d'une entreprise montréalaise. Sélection des données, contrôle des annotations et suivi des entraînements pour des robots dédiés à l'économie circulaire.
Responsibilities
- Optimize client model classification schemes according to their sorting requirements
- Perform data pre-processing and select high-impact images and objects of interest for training
- Plan and coordinate the work of the external annotation partner
- Review and quality-control received annotations and update annotation guides
- Prepare training datasets and contribute to data storage management
- Launch model training runs, monitor results, and interpret evaluation metrics
- Improve data curation tools and annotation automation
- Collaborate with the AI research team to continuously improve data and training pipelines
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field — or a DEC (college diploma) in Computer Science combined with equivalent experience
- Experience in data processing for machine learning or image processing for automatic object classification
- Practical knowledge of Python for data work
- Understanding of training and evaluation processes for deep learning models in computer vision
- Excellent rigor and attention to detail
- Experience with annotation or data curation tools (CVAT or equivalent) — asset
- Experience with deep learning libraries (PyTorch, TensorFlow) or the YOLO ecosystem — asset
- Experience coordinating with an external vendor or partner — asset
- Familiarity with Agile methodologies — asset
- Excellent communication and collaboration skills within a multidisciplinary team
- Ability to coordinate the work of an external partner
- French required; knowledge of English is an asset
- Self-directed with strong judgment in prioritizing tasks
- Analytical mindset and strong problem-solving skills
Benefits
- Hybrid work model — 3 days in the office
- Paid leave on your birthday
- Comprehensive insurance, including dental
- EAP (Employee Assistance Program)
- Telemedicine
- Team building
- Career progression toward advanced curation and ML engineering
- Tangible impact of technology deployed across multiple countries, supporting the circular economy
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