Top Machine Learning Jobs in Ottawa

As a Senior Machine Learning Engineer, you will develop and implement advanced machine learning algorithms, train models, and collaborate with cross-functional teams to integrate AI functionalities into Atlassian products. Responsibilities include designing system architectures, conducting experiments, and guiding junior engineers.

The Staff Machine Learning Engineer will shape the technical vision for credit and underwriting platforms, providing architectural direction while actively coding to solve complex challenges. Responsibilities include mentoring engineers, refining distributed systems, and collaborating with cross-functional teams to enhance feature delivery and engineering excellence.

Lead the development of generative AI features, collaborating with product and engineering teams to guide strategy and product vision. Design frameworks for evaluating AI features, communicate complex insights clearly, and mentor team members while advocating for the adoption of new generative AI technologies to enhance customer experience.

As a Staff Machine Learning Engineer, you will partner with product and marketing teams to build tailored experiences, deploy machine learning models, and enhance personalization across Cash App and Afterpay. You are expected to leverage machine learning algorithms and data analysis to drive growth and engagement.

The Senior Machine Learning Engineer will build and deploy machine learning models for personalizing customer interactions in Cash App, partnering with product and marketing teams to enhance growth and engagement. Responsibilities include working with various ML algorithms and data analysis techniques to improve customer experiences.

As a Senior Applied Machine Learning Engineer, you'll research and apply machine learning techniques to deliver solutions, engage with customers on projects, design and deploy AI/ML solutions, and serve as a voice for customer needs. You will also present findings, manage technical programs, and develop business impact solutions across industries.

The Sr. Machine Learning Engineer at CrowdStrike will build globally distributed and scalable systems, implement monitoring and analysis for vulnerabilities, and create backend microservices. The role requires collaboration across teams to devise solutions while ensuring high coding quality and adherence to standards in a supportive and innovative environment.

Lead the development of AI-powered systems at Dropbox focusing on integrating large language models for search relevance, ranking, and automation. Responsibilities include architecting scalable ML systems, fine-tuning LLMs, and collaborating with cross-functional teams to innovate AI capabilities.

The Principal Machine Learning Engineer at Autodesk will develop and deploy machine learning models for personalized customer experiences on an eCommerce platform. Responsibilities include managing model performance, optimizing computational costs, implementing CI/CD pipelines, and collaborating with global teams.

As a Senior Software Developer at Autodesk Research, you will work on developing scalable data pipelines for machine learning, processing various data types, and collaborating with a global team to create new product features.

As a Senior Machine Learning Engineer at Samsara, you will develop innovative ML and generative AI solutions to optimize physical operations. You will collaborate with various teams, design and implement ML systems, and lead AI initiatives, impacting industries globally.

As a Senior Software Developer focused on AI, you will apply AI/ML skills to large datasets, design MLOps pipelines, and develop AI-based services within Trend Vision One™ Platform, collaborating with a global team to enhance cybersecurity solutions.

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.

The role involves designing, building, and maintaining machine learning systems for real-time fraud detection at Cash App. Senior Machine Learning Engineers will collaborate with ML Modelers, work on large-scale technical problems, and oversee solutions from design to operation.

The Solution Architect will assist in designing and implementing software systems, focusing on microservices architecture. Responsibilities include contributing to architectural documentation, collaborating with teams for technical solutions, implementing software using Python, developing REST APIs, troubleshooting architectural challenges, and engaging in continuous learning to enhance software architecture.

As a Senior Software Engineer specializing in deep learning for computer vision, you will design machine learning algorithms, lead the development of deep neural networks, and work with various sensor data to enhance robotics applications. You'll also set up training pipelines and collaborate with team members to improve performance.