Top Machine Learning Jobs in Vancouver

The role involves building machine learning models to detect risky activities, collaborating with cross-functional teams, and enhancing modeling capabilities. Candidates should have extensive experience in machine learning and strong analytical skills.

The Senior Machine Learning Engineer will develop and implement ML models for security purposes, focusing on threat detection, abuse prevention, and user trust enhancement.

Develop scalable machine learning models, collaborate with DevOps and Data teams, create proofs of concept, and ensure high-quality software development.

The Content Strategy Specialist will lead content audits, drive governance and process, manage digital assets, and enable cross-functional teams to ensure effective content strategy and distribution at Clio.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

Develop end-to-end software agents as collaborative AI teammates to empower engineering teams in solving complex challenges.

The Staff Machine Learning Engineer will lead the design and implementation of AI/ML models for risk detection, collaborate with cross-functional teams, and mentor engineers to enhance engineering excellence.

As Director of Supply Chain Strategy, you'll develop long-term strategies, align initiatives with corporate objectives, manage projects, and optimize supply chain performance.

The Director of Supply Chain Strategy will develop and implement long-term strategies, lead initiatives and projects, and enhance global supply chain efficiency and resilience.

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

The Senior Product Manager will define and execute the roadmap for AI-powered insights, optimizing reporting and analytics for retail teams. This role involves leading product discovery, collaborating with cross-functional teams, and improving decision-making through innovative product solutions.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

Lead Machine Learning Engineer responsible for setting technical vision, guiding teams, architecting solutions, and overseeing project delivery on Google Cloud. Requires strong ML fundamentals and excellent communication skills.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

Manage AI product development, driving discovery, execution, and data-driven decisions to improve customer outcomes. Collaborate with teams.

The Machine Learning Scientist will develop AI-based solutions to manage risks, collaborating with various teams while optimizing ML processes and mentoring peers.

Lead the development and deployment of AI and ML solutions, oversee MLOps strategy, and collaborate with data scientists to enhance data-driven products.

Lead and grow a product engineering team at Butter Payments, focusing on product delivery, technical excellence, and team development while collaborating cross-functionally to drive business outcomes.

The role involves analyzing AI technologies, managing complex projects, leading teams, and driving AI initiatives while providing analytical insights.

Responsible for developing machine learning models, conducting quantitative analysis, and optimizing workflows to enhance user experience and engagement at The Athletic.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

Lead and optimize machine learning algorithms to enhance advertising effectiveness, manage production-grade ML models, and validate performance through data-driven insights.

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