Stay22
Senior ML/DL Developer
Montreal HQ · Senior
Sponsorship not specifiedDetected 40 days ago
TypeScriptPythonBackend DevelopmentSQLDockerKubernetesCI/CDMachine LearningDeep LearningTensorFlowPyTorchData EngineeringNLPLLMsMLOpsStatisticsDesign SystemsForecastingRecruitingCommunicationCollaboration
About the role
- You will be joining the Neuro Squad, a specialized team formed to centralize ML/AI innovation at Stay22.
- Neuro provides the technical foundation that powers our core engines, including Roam (our ML-driven redirection engine).
- As a Senior ML/DL Developer in the Neuro Squad, you will architect the intelligence behind these products.
Responsibilities
- Own the backend logic and model behavior for Roam, ensuring high accuracy and reliability.
- Develop high-performance models for forecasting and user intent prediction based on complex tabular and booking data.
- Build and maintain the internal LLM client and gateway layers, enabling unified access to language models for the entire organization.
- Design and operate the full ML lifecycle: data preparation, model training pipelines, model registries and real-time inference services.
- Manage caching layers, inference servers and performance monitoring to ensure low-latency responses for our high-traffic engines.
- Create low-maintenance, production-ready solutions that align with CI/CD and security standards (in partnership with the Forge squad).
- Collaborate with the Data Squad to co-design training datasets and feature pipelines, ensuring seamless integration with the data warehouse and analytics systems.
Nice to have
- English proficiency is required for daily communication with international clients and colleagues.
- At least 2 years of specific experience in software engineering, writing production-grade code for backend services or APIs.
- Deep understanding of modern ML techniques including CNNs, LSTMs/RNNs and gradient boosting (XGBoost/LightGBM) applied to tabular data.
- Experience with Google Vertex AI (preferred) or Amazon SageMaker for training and managing models at scale.
- Experience with MLOps tools (e.g. MLflow, Kubeflow, TFX) and containerization (Docker, Kubernetes).
- Strong SQL skills and experience collaborating on feature stores or ETL definitions.
Skills
- A passion for translating complex ML metrics into tangible business value (better routing, higher conversion).
- Whiteboarding session oriented on Miro with the Engineering Team (60 minutes)
- In person interview with some Neuro squad team members (45-60 minutes)
- Final interview with our CEO (30 minutes)
- Offer & onboarding 🎉
Compensation
- Today, more than 6,500 creators and platforms rely on Stay22, with over $1 billion in annual transactions flowing through the platform.
Benefits
- Améliorer continuellement les modèles en matière de qualité de classement, de latence et d'efficacité des revenus à l'aide d'analyses statistiques avancées et de deep learning.
- Développer des modèles haute performance pour la prévision et la prédiction de l'intention utilisateur à partir de données tabulaires complexes et de données de réservation.
- 6 ans et plus d'expérience en machine learning ou en science des données.
- Excellente maîtrise de Python et des bibliothèques de deep learning telles que PyTorch ou TensorFlow, ainsi que scikit-learn.
Company info
- Assurances santé et dentaire, régime de retraite, occasions de formation et de développement, activités sociales et retraites d'équipe.
- (Stay22 est un employeur souscrivant au principe de l'égalité des chances.
- Toutes les candidatures qualifiées seront considérées.
- Si vous avez un handicap ou un besoin particulier nécessitant des mesures d'adaptation, veuillez communiquer avec nous à careers@stay22.com.)
- About Stay22
- Based in Montreal, Stay22 helps ambitious creators and intent-rich digital platforms turn their existing traffic into incremental revenue, with technology that works quietly in the background.
- Today, more than 6,500 creators and platforms rely on Stay22, with over $1 billion in annual transactions flowing through the platform.
- Originally built for travel, the company now supports partners across retail, lifestyle, publishing, events, an
This listing is sourced directly from Stay22's careers page and normalized into a canonical job model.