Top Machine Learning Jobs in Vancouver

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.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras. Oversee model lifecycle and ensure reliable features by collaborating across teams.

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.

As a Senior Applied Scientist, you will implement Generative AI solutions for enhancing customer experiences, develop hybrid machine learning methods, and design scalable systems to tackle product challenges using complex datasets.

Lead the AI Platform team at Zapier, focusing on enabling product teams to ship AI/ML-powered features efficiently and safely.

Lead strategy and roadmap for platforms that deliver personalized, scalable promotional experiences. Partner with Engineering, Marketing, Data Science, and Analytics to build dynamic offers, experimentation, machine learning-driven targeting, and measurement. Drive discovery, launch, iteration, and integrations while ensuring responsible gaming and measurable business impact.

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.

The Senior Marketing Analytics Manager will conduct data analysis to guide marketing strategies, design marketing experiments, develop predictive models, and collaborate with cross-functional teams to enhance marketing insights through advanced analytics.

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 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 a Senior AI Engineer, you'll design and build scalable AI systems, optimize data pipelines, and integrate LLM advancements, mentoring teammates and influencing product discussions.

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

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

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

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.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

The Technical Workflow Designer will develop scalable workflows for visual content creation, integrating machine learning and ensuring high-quality outputs for film production.

As a Senior Machine Learning Engineer, you'll lead ML lifecycle efforts, design scalable feature pipelines, and mentor engineers while optimizing models and systems.

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.

The Product Manager - Analytics leads the strategy for analytics capabilities, collaborating with teams to create scalable solutions that improve mining operations.

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

The Account Executive will drive sales, develop strategies for business growth, manage accounts, and lead collaborations with clients and teams in the insurance sector.

As an Account Executive, you will drive new business opportunities and manage existing accounts in the telecom sector, contributing to revenue growth and sales strategy execution.

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.