Stage de 6 mois en recherche appliquée sur les Neural Operators pour la prédiction de champs électromagnétiques en 3D.
Compensation
Tous nos stages sont conventionnés et soumis à une gratification dont le montant est déterminé selon votre niveau d’études.
Responsibilities
Mettre à niveau vos connaissances sur la modélisation du comportement des composants radio-fréquence.
S’approprier l’état de l’art des algorithmes d’opérateurs neuronaux prenant en entrée des géométries, ainsi que les décompositions de domaines et de Tucker.
Prendre en main le code existant et implémenter des extensions pour des problèmes en dimensions.
Comparer les résultats obtenus avec ceux des simulations classiques.
Lead a distributed team of engineers focused on MLOps and analytics, driving technical delivery, team growth, and product quality.
Compensation
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus.
Responsibilities
Manage a distributed team of engineers and its MLOps/Analytics portfolio
Organize and lead the team’s processes to help it achieve its objectives
Designs, develops, and deploys machine learning models and scalable data solutions to support advanced analytics and omnichannel marketing initiatives for Klick's clients.
Compensation
The base salary range for this position is between CAD $75,000 - $85,000.
Responsibilities
Design, build, and optimize data architectures, ETL pipelines, and feature engineering workflows using Python and SQL
Develop, train, evaluate, and deploy machine learning models using libraries such as scikit-learn, TensorFlow, or PyTorch
Process and analyze clickstream datasets and other large-scale data sources while maintaining and optimizing enterprise data warehouses and data lakes
Collaborate with data engineers, analysts, project managers, and client stakeholders to gather business requirements and deliver data-driven recommendations
Establish and document reproducible machine learning and data engineering workflows
Requirements
Master's degree or Ph.D. in Data Science, Machine Learning, Computer Science, Statistics, or a related quantitative discipline
Nice to have: AI enthusiasm
Nice to have: healthcare, pharmaceutical, life sciences, media, advertising, or agency environments
Nice to have: Power BI or comparable business intelligence platforms
Own machine learning projects end to end, from understanding the business need and defining the approach through execution, launch, measurement, and iteration.
Locations (2)
Austin, Texas, United States
Seattle, Washington, United States
Compensation
The total cash range for this position in Austin is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Own machine learning projects end to end
Develop and improve the Marketplace Health Model system
Translate complex marketplace challenges into scalable machine learning and statistical modeling solutions
Partner closely with product, engineering, operations, trust and safety, and other stakeholders
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