Top Machine Learning Jobs in Ottawa

Lead teams in building end-to-end AI products focused on computer vision and sensor data. Oversee model lifecycle, data management, and deployment. Drive innovation in AI while fostering team development and ensuring customer success.

The Fraud Program Manager will enhance the fraud risk management program, develop monitoring metrics, manage anti-fraud policy updates, and collaborate across teams to ensure compliance and effectiveness in fraud prevention.

The Staff Software Engineer will develop full-stack applications, lead projects, mentor teammates, and drive architectural discussions to enhance Toast's restaurant platform.

Lead technical vision and execution for enterprise AI, data, and automation initiatives. Architect and deliver scalable AI systems, data pipelines, and intelligent services; mentor engineers; drive cross-functional alignment, risk mitigation, and operational excellence; prototype solutions and influence org-wide strategy to maximize business impact.

Counsel on product and security issues, focusing on user privacy and data protection while collaborating with cross-functional teams and advising on compliance.

As Principal Product Manager, you'll define and execute the strategic vision for AI quality, enhancing enterprise search and AI products through cross-functional collaboration and customer insights.

Lead a team of ML engineers to develop and improve fraud detection models, defining strategies and fostering collaboration across functions to ensure effective model integration.

The Compliance Technology Oversight Lead manages machine learning compliance models, partners with engineering for oversight, and ensures alignment with regulatory standards.

As a Staff ML Engineer, you'll design and operate Samsara's ML platform, partnering with teams to deliver scalable ML solutions that enhance safety and efficiency in physical operations.

Lead the design of advanced L2 Scheduler solutions for 5G and 6G networks, utilizing AI/ML strategies and deep 5G expertise to optimize software performance on GPP platforms.

The role involves supporting network management applications, leading engineering activities, developing technical documents, engaging with customers, and assessing their needs.

Lead the Consumer Risk product for Affirm, focusing on Credit, Pricing, and Fraud, while managing a team of Product Managers and collaborating cross-functionally to drive product strategy and execution.

The Senior Product Manager leads product strategy and execution for a B2B SaaS platform, ensuring alignment with business goals and customer needs through data-driven insights and cross-functional collaboration.

The Blue Planet AI Product Manager leads AI integration in service provider networks, analyzing customer needs, managing product backlogs, and ensuring timely delivery of AI capabilities.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

In this role, you'll design and develop scalable ML infrastructure, optimize data processing workflows, and mentor team members while collaborating with Data Science and Engineering teams.

As Senior Director of AI Engineering, you'll lead AI and Machine Learning teams, drive product alignment, and execute data science strategy to enhance SurveyMonkey's functionalities.

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

As a Global Demo Excellence Lead, you'll own a demo ecosystem strategy, manage demo environments, and drive sales and partner readiness to enhance customer engagements across Geotab's diverse sectors.

As a Senior Machine Learning Engineer, you'll develop ML solutions, design APIs, maintain data pipelines, and collaborate with teams for optimal performance and innovation.

Partner with multinational clients to gather requirements, define KPIs, develop business cases, and oversee GRAVTY® loyalty program implementations. Provide product expertise, deliver client training, manage project documentation and SLAs, collaborate with product management on features, and create product marketing collaterals to support go-to-market strategies.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As a Social Media Intern at Inception, you will manage social content across platforms, engage with AI discussions, participate in product launches, and create engaging video content. Aimed at students with a passion for AI and strong writing skills, the role offers direct access to the founding team and the potential for full-time conversion.