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Top Machine Learning Jobs in Vancouver
The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.
The Staff Machine Learning Engineer will develop machine learning and deep learning models for churn risk assessment and product recommendations, lead cross-functional projects, and mentor team members. This role involves designing ML systems and collaborating with business leaders to enhance seller growth and retention.
The Staff Software Engineer for Afterpay Media Network will collaborate with cross-functional teams to optimize data systems, deploy machine learning models for advertising solutions, and maintain user identifiers in Cloud environments. Responsibilities include designing scalable data warehouses, ensuring data quality, and integrating with advertising tools and partners' APIs.
The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.
The Senior Machine Learning Engineer will design and implement ML pipelines and services to combat fraud in Cash App's banking products. This role involves developing next-generation ML solutions and collaborating with data scientists and software engineers to enhance security and user experience across a growing financial service platform.
As a Senior Machine Learning Engineer at Cash App, you will design and implement ML pipelines to prevent inauthentic identities and enhance user access to financial services. You will collaborate with Data Scientists, Software Engineers, and contribute to the ML strategy across Cash App while mentoring teammates. Your role is vital in fortifying identity verification systems.
Mid level machine learning engineer role at Instacart. Responsibilities include designing, developing, testing, and deploying machine learning models to solve customer problems and drive business forward. Requires strong programming skills and analytical abilities.
The Staff Machine Learning Engineer will build and integrate machine learning solutions to evaluate customer cash flow risk and support multiple products in Cash App. The role involves experimenting with modeling techniques and collaborating with finance, product, and engineering teams to enhance automated decisioning processes and optimize growth opportunities.
Featured Jobs
As a Senior Machine Learning Engineer at Cash App, you will develop machine learning solutions for risk management and fraud mitigation, working collaboratively with cross-functional teams. You will utilize your expertise in machine learning algorithms and data analysis to enhance product offerings for a diverse customer base.
As a Staff Machine Learning Engineer for Cash App's Risk team, you will develop ML solutions to mitigate risk and fraud, collaborating with cross-functional teams. You will utilize a deep understanding of machine learning algorithms and data analysis techniques to enhance products and protect the customer experience.
As a Data Engineer at StackAdapt, you will design modular, scalable real-time data pipelines, implement custom machine learning algorithms, and work on microservice architectures for training and monitoring ML models. Collaboration with data scientists and engineers is key to solving complex data challenges in a rapidly evolving digital advertising space.
As a Senior Machine Learning Modeler, you will develop and implement statistical models using machine learning techniques to forecast business outcomes, collaborate across teams, and explore novel methodologies while effectively communicating results to senior leadership.
You will design, build, and maintain Machine Learning systems for identifying fraudulent activities. Collaborating closely with ML Modelers, you'll integrate new data sources and solve technical challenges across a global team. Your role involves owning solutions from design through operation while improving fraud detection capabilities.
The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.
As a Sr. Machine Learning Engineer, you'll innovate with cutting-edge machine learning technologies, build scalable ecosystems, and create backend microservices. You'll also maintain data pipelines, collaborate with teams, and emphasize coding quality in a flexible, agile environment.
In this role, you will design and develop AI systems, build scalable ML solutions for SaaS applications, collaborate with data scientists, and manage databases for model training. You'll participate in the lifecycle of ML model development, ensuring efficient deployment and integration into production environments while staying updated on ML technologies.
As a Senior Machine Learning Engineer, you will build the Cashbot, develop high-quality customer support experiences, and create modeling pipelines while collaborating with Product, Design, and Engineering teams. You will focus on improving chatbot functionality and mentoring other team members.
As the Director of Engineering for Machine Learning, you'll lead multiple teams to advance deep learning applications in robotics, manage large teams, and develop collaborative relationships to drive technical vision in autonomous driving.
As an AI Engineer at Kira Learning, you will enhance student learning by implementing AI features such as autograding and personalized experiences, collaborate with teams for product execution, and ensure code maintainability and documentation.
As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems to augment patient care features. Responsibilities include building ML production systems, conducting evaluations, and collaborating with diverse teams to translate product needs into actionable ML solutions.
As a Senior Machine Learning Engineer, you will enhance AI systems for patient and physician features, develop evaluations for ML products, and mentor junior engineers. You will work with diverse teams to translate product intuition into impactful ML solutions, utilizing your expertise in ML/NLP and building production systems.
The Fractional CTO will focus on AI and lead projects related to machine learning and other AI technologies. Responsibilities include team management, AI model development and deployment, project scoping, and guiding startups through digital transformation.
The Machine Learning Researcher at Curai Health will advance medical applications of machine learning, contribute to research publications, and collaborate with experts in healthcare technology. Responsibilities include tackling complex healthcare data challenges and mentoring research interns.
As a Staff Machine Learning Engineer within the Financial Crimes Technology team at Cash App, you will design and enhance batch inference services related to machine learning, support developers with infrastructure needs, and collaborate on improving AI tools for agent productivity and case review. Leadership responsibilities include driving strategic initiatives and working with cross-functional teams to optimize operations.
The Staff Machine Learning Engineer will lead the development of Generative AI solutions, build training infrastructures for language and vision models, implement testing procedures, and optimize models for performance within the Firefox team.
Top Vancouver Companies Hiring Machine Learning Roles
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