Top Machine Learning Jobs in Vancouver
As a Software Engineer in the Risk ML Platform, you will develop scalable AI solutions to flag fraudulent activities, work with ML Modelers to integrate data sources, and apply theoretical advancements in machine learning to enhance products. Engage in experiments, prototyping, and architectural design across various computer science domains.
As a Software Engineer for the Risk ML Platform, you'll develop a scalable AI platform to detect fraud, collaborate with ML modelers, and apply modern ML techniques. Your role includes managing the machine learning lifecycle from training to deployment, and engaging in various computer science domains.
The Staff Machine Learning Engineer will lead the Conversational AI team at Square, focusing on designing and optimizing machine learning solutions across products. Responsibilities include driving ML projects from inception to production, collaborating with various stakeholders, and providing mentorship to team members.
The Senior Machine Learning Engineer, Risk AI will design and maintain ML systems to flag fraudulent activities in real-time. Responsibilities include collaborating with ML modelers, leading experiments, enhancing products with theoretical advancements, and engaging in diverse computer science domains. The role emphasizes ownership of solutions and proactive problem-solving in a fast-paced environment.
The Senior Machine Learning Engineer will design and manage distributed services and tools for Personalization Machine Learning at Cash App, focusing on recommendation and ranking systems. The role involves leading cross-functional projects, ensuring code quality, and mentoring fellow engineers, while collaborating with various teams to implement machine learning solutions.
The Senior Machine Learning Engineer will design and build tools for ML modelers, integrate data streams, lead MLOps initiatives, develop prototypes with modelers, and influence team culture in the pursuit of enhancing financial crime prevention at Block.
The Senior Machine Learning Engineer will design and implement machine learning systems to combat fraud in Cash App's banking products. This role involves developing ML pipelines, collaborating with teams to enhance machine learning practices, and advancing the platform to support robust, scalable solutions for end-users.
As a Senior Machine Learning Engineer in the Banking team at Cash App, you will develop and maintain machine learning systems to combat fraud in banking products. Your responsibilities will include designing ML pipelines, creating training platforms for models, and applying best practices to enhance ML solutions.
The Senior Machine Learning Modeler at Block will build and manage machine learning solutions to assess financial crime risks, collaborate with stakeholders to leverage data effectively, document regulatory programs, and influence team culture. They will be responsible for developing critical production software while ensuring compliance and promoting best practices in machine learning.
The Staff Machine Learning Engineer will enhance batch inference services and tooling for financial crime detection, work on infrastructure for model development, and lead AI/ML initiatives within Cash App. Responsibilities include collaborating with various teams, developing prototypes, and driving strategic roadmaps.
As a Software Engineer for the Machine Learning Platform, you will design and build tools for data scientists, lead architectural discussions, mentor colleagues, and participate in maintaining platform reliability while leveraging your expertise in machine learning.
The Senior Machine Learning Engineer will design and build services for ML modelers, integrate data streams to create efficient models, and lead MLOps initiatives. The role involves collaborating with various teams to enhance ML tools and infrastructure while maintaining production software and developing new solutions.
The role involves partnering with product and marketing teams to enhance user experience, driving growth and engagement through the deployment of machine learning models, focusing on personalization for Cash App's services.
As a Staff Machine Learning Engineer on the Risk team, you will develop machine learning solutions to mitigate risk and fraud while collaborating with various stakeholders to balance business loss and customer experience. You will leverage extensive transaction data to understand customer behavior and create innovative products.
As a Staff AI Engineer at Cash App, you'll design and enhance Machine Learning tools to detect suspicious activities. Collaborating with cross-functional teams, the role focuses on optimizing workflows using Generative AI and ensuring a safe user experience while driving strategic initiatives.
The Senior ML Engineer will enhance machine learning systems for detecting financial crimes on Cash App, focusing on inference services and tools that support ML workflows. They will collaborate with various teams to foster the use of new technologies while driving strategic projects to completion.
As a Senior Machine Learning Engineer on the Risk team, you will develop analytical and machine learning solutions focusing on mitigating risk and fraud in Cash App's products. Collaborate cross-functionally and leverage data to improve customer experiences while balancing financial and regulatory risks.
As a Senior Machine Learning Engineer, you will build the Cashbot customer support chatbot and create modeling pipelines while collaborating with various teams to enhance ML models that improve customer assistance. Your focus will be on developing intelligent automation tools and refining ML systems using cutting-edge technologies.
The role involves developing and enhancing machine learning tools and services for Cash App's Financial Crimes Technology team, ensuring safe user experiences while managing suspicious activity. Responsibilities include facilitating modelers and improving ML modeling workflows.
The Senior Machine Learning Engineer will collaborate with product and marketing teams to create personalized experiences for Cash App users by building and deploying machine learning models, focusing on recommendations and search systems. They will utilize a variety of machine learning algorithms and analyze data to drive growth and engagement.
As a Staff Machine Learning Engineer in the Risk team at Cash App, you'll develop ML solutions to mitigate risk and fraud while collaborating cross-functionally with various teams. You'll utilize your expertise in machine learning algorithms and data analysis to enhance product lifecycle management.
As a Senior Machine Learning Engineer, you will leverage your expertise to develop analytical and machine learning solutions focused on mitigating risk and fraud for Cash App. You'll collaborate with cross-functional teams to balance financial loss, regulatory risks, and enhance customer experiences, deploying updates regularly based on data-driven insights.
As a Senior Machine Learning Engineer in Personalization, you'll design and manage distributed services and tools for machine learning applications, lead projects across engineering boundaries, and collaborate with various teams. Your role includes building recommendation and ranking systems while ensuring high code quality and providing mentorship to teammates.
Design, build, and maintain Machine Learning systems to flag fraudulent activities in real-time. Collaborate with global colleagues on challenging technical problems. Lead the conception and implementation of large-scale experiments to validate novel ideas. Apply latest theoretical advancements to enhance existing products and technologies. Conduct experiments across various computer science domains.
The Computer Vision Engineer will build and enhance machine learning models using extensive sensor and camera data. Responsibilities include optimizing models for backend and edge devices, collaborating with hardware and full-stack teams, and translating customer needs into ML/CV solutions while staying connected to industry research.
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