Top Machine Learning Jobs in Ottawa

The Senior Staff Software Engineer at Affirm will define technical direction, foster innovation, build scalable solutions, and guide architectural choices. Responsibilities include designing and implementing core services and APIs, architecting data-processing pipelines, and addressing performance issues across distributed systems.

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 Engineering Lead will oversee core engineering teams focusing on Identity, Access, Security, and Fraud Controls at Cash App. Responsibilities include driving technical strategy, developing innovative security solutions, and fostering a high-performing engineering culture. This role requires collaboration with cross-functional teams to improve customer trust and safety within the platform.

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 Machine Learning Engineer, you will design, build, deploy, and refine large-scale machine learning systems for Dropbox Dash. You will collaborate with cross-functional teams to personalize user experiences and implement modern advancements in AI and ML.

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.

As a Staff Machine Learning Engineer, you'll build and integrate ML solutions for evaluating customer cash flow risk and support multiple credit products while experimenting with various modeling techniques. You'll collaborate across finance, product, and engineering teams to enhance automated decision-making.

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.

The Manager of MLOps Engineering will lead a team tasked with building a top-notch production machine learning infrastructure, working closely with Data Scientists and Developers. Responsibilities include developing rapid prototyping processes for ML, deploying models, mentoring team members, and improving customer AI model support.

As a Software Engineering Intern at WEX, you will work on AI/ML applications in the FinTech industry, contribute to projects, develop and deploy models, and collaborate with experts while gaining valuable experience in big data technologies.

As a Senior Machine Learning Engineer, you will develop and implement cutting-edge machine learning algorithms, train sophisticated models, and collaborate with various teams to integrate AI functionalities into Atlassian products. Your responsibilities include designing architectures, conducting experiments, and guiding junior engineers, ensuring the transformative potential of AI is realized across offerings.

As a Senior Data Architect at Apply Digital, you'll define data architecture, translate business requirements into technical specifications, and optimize data storage strategies while collaborating with cross-functional teams and stakeholders.

The role involves breaking projects into tasks, collaborating on product development, monitoring team artifacts, and contributing to team community. Requires designing and launching backend systems, working with distributed systems, and taking ownership of growth.

The Sales Engineer at Nightfall AI will manage the technical sales process, consult with customers on their needs, demonstrate the platform, and provide solutions to enhance data security. Responsibilities include conducting assessments, designing implementation strategies, and presenting at trade shows.