Top Machine Learning Jobs in Vancouver

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 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 Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

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.

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.

The Senior Software Developer will architect and develop AI software solutions using Golang and C++, deploying AI models and improving CI/CD pipelines while collaborating with teams.

The Senior Software Development Engineer will build backend services in Go on AWS, enhance AI/ML platform offerings, and drive infrastructure optimization for scalable products.

The Technical Solutions Manager bridges Sales and Software Engineering, leading technical discovery, designing solutions, and engaging customers to drive revenue growth.

The role involves leading AI and ML projects, defining technical strategies, mentoring teams, managing projects, ensuring quality, and engaging stakeholders.

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.

As Director of User Experience, you will lead and mentor a team to build innovative user experiences, incorporating AI and design principles across various platforms. You will collaborate with stakeholders and ensure high-quality deliverables while adapting to fast-paced environments and managing multiple projects.

Lead a team of data scientists and AI engineers to deliver AI-driven solutions and drive business impact through innovation and collaboration.

Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.

Lead end-to-end design for invoicing and financial workflows, using customer research to define strategy, prototype and launch AI-powered features, improve design systems, mentor teammates, and drive cross-functional alignment to improve product and business outcomes.

Design and implement scalable data pipelines and ML algorithms to optimize StackAdapt's digital advertising platform. Collaborate with teams to solve complex problems.

The Senior Machine Learning Engineer will design, build, and deploy AI agents, advance ML systems, and mentor junior engineers.

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.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

Lead global payment operations at ABC Fitness, managing partnerships, optimizing processes, deploying AI solutions, and ensuring financial accuracy across operations.

The Senior Machine Learning Engineer will develop advanced ML models, specifically leveraging NLP and GenAI, and collaborate with cross-functional teams to enhance customer experience at Clio.

Lead the development and improvement of fraud prediction models using machine learning techniques, collaborating with various teams to ensure model effectiveness and operational robustness.

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

Lead development of AI-powered GTM tooling and infrastructure to drive pipeline, conversion, activation, retention, and revenue. Own metrics, run experimentation, partner with Sales/Marketing/Engineering/RevOps, and deliver scalable systems and revenue-compounding platforms.

Design and build the core platform for developing and operating AI agents at scale, focusing on reliability, observability, and automation.

The Machine Learning Engineer will design and maintain ML models to identify risky transactions, build reliable feature pipelines, and optimize model performance.