Top Machine Learning Jobs in Ottawa

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.

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 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.

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.

The Sr. Machine Learning Engineer will innovate with machine learning technologies, focusing on building scalable ecosystems, implementing monitoring for vulnerabilities, creating backend microservices, and maintaining data pipelines. Collaborating across teams, the engineer will also contribute to mentoring, enhance support for customers, and ensure top-tier coding quality within a collaborative environment.

The Staff AI Engineer will design and enhance machine learning inference services for Cash App's Financial Crimes Technology team, focusing on optimizing operations and integrating AI/ML best practices. The role involves collaboration with cross-functional teams and requires leadership in driving strategic initiatives and prototyping new tools for modelers.