Top AI Jobs in Vancouver

The Senior Lead AI Solutions Consultant at Braze drives revenue by enhancing the understanding of the BrazeAI tools, engaging with enterprise customers, leading workshops, and collaborating across teams to improve products and customer solutions.

Lead a team of Machine Learning Engineers and Data Scientists to design and deliver ML systems at Remitly. Collaborate across domains to implement MLOps best practices and contribute to AI strategy.

The AI DevOps Engineer will enhance AI and ML pipelines, support data science initiatives, and ensure system reliability and scalability in cloud environments.

The role involves developing AI software solutions, integrating AI models, collaborating with teams, and mentoring junior engineers, focusing on video analytics.

The Data Scientist II will execute data science projects, partner with ML engineers, analyze A/B tests, and provide actionable insights.

The AI Engineer will develop and optimize AI solutions, focusing on LLMs, manage datasets, and collaborate with cross-functional teams to align AI/ML solutions with business objectives while ensuring data quality and performance.

Develop and enhance AI agents and backend systems, evaluate LLMs, design prompts, and implement safeguards for Mastercard's AI platform.

Develop enterprise-grade AI solutions, collaborate with data scientists, implement workflows, optimize systems, and mentor team members while ensuring high-quality standards.

Design and build AI-driven developer tools, integrate third-party AI models, mentor engineers, and improve AI coding agents to enhance software development processes.

Lead a team of engineers to design and implement AI features, improve user experience, and drive automation solutions with a focus on user needs and experimentation.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

Lead and execute outbound marketing campaigns using product engagement data to prioritize outreach efforts, improve messaging, and enable sales effectiveness.

As a Talent Acquisition AI Automation Lead, you'll drive automation in recruiting processes, enhance team efficiency, and implement AI-driven workflows to improve candidate engagement and sourcing. You'll collaborate with the TA team and stakeholders to create innovative solutions that streamline hiring.

As a Forward-Deployed Data Scientist, you will work with customers on implementations, develop data pipelines, improve architecture, and contribute to product strategy through technical expertise.

As a Senior Forward-Deployed Data Scientist, you'll collaborate with clients on data integrations, improve product capabilities, and provide technical expertise to drive customer success and adopt machine learning algorithms.

Join Atlassian as a PhD AI Research Intern, focusing on advanced machine learning and AI technologies. Collaborate with experts, curate datasets, train models, and contribute to academic publications in a supportive team environment.

The role involves designing and implementing AI research infrastructure, building automated data pipelines, and integrating AI systems to enhance research efficiency and insights delivery.

Seeking a Senior Staff Machine Learning Engineer to lead AI/ML model design and implementation for fraud detection and risk management, collaborating across teams to enhance security systems.

As a Senior Machine Learning Engineer, you will own a risk domain, architect ML systems, mentor engineers, and apply advanced ML methodologies to enhance security measures against fraud and scams.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance security, improve model performance, and respond to new threats in the Coinbase platform. Responsibilities include collaborating with stakeholders and applying advanced ML techniques.

The role involves building production-grade agent systems, designing scalable backend services, and collaborating with engineering teams on AI tools and blockchain technology.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

The Senior Machine Learning Engineer will develop scalable ML systems, collaborate across teams to improve solutions, and manage critical ML infrastructure projects.

Lead the development of AI security products, focusing on data access governance and DLP for SMBs, while driving product strategy, implementation, and market impact.