Top Machine Learning Jobs in Vancouver

Lead NerdWallet's customer support transformation through AI, overseeing operations, strategy, and team development to improve customer satisfaction and operational efficiency.

Develop and implement messaging and positioning for AI products, create marketing content, lead go-to-market strategies, and analyze market research.

As a Senior AI Programmer, you'll develop AI systems for interactive projects, collaborating with teams to optimize performance and design.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.

As a Senior Product Manager, you will own product outcomes, develop roadmaps, translate market insights into action, and navigate technical complexities in a startup environment.

The Product Owner will translate strategic goals into user stories, manage the development backlog, facilitate agile ceremonies, and ensure feature quality for the product roadmap.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.

Lead the development of AI-driven automation for security operations, focusing on integration, scalability, and accuracy of systems to enhance security efficacy.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

Contribute to core ML infrastructure by designing and building training infrastructure, optimizing model integrations, and collaborating with data teams to implement pipelines.

As a Senior Solution Engineer, you'll guide customers in understanding AI solutions, conduct technical assessments, deliver demos, and provide strategic advice on digital transformation.

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with sales, create materials, and conduct market research to drive growth in the gaming and 3D industries.

The Senior Machine Learning Engineer will develop and optimize ML models for CAD applications, collaborate with researchers, and improve model performance in production environments.

The MLOps Developer will implement MLOps practices, develop and maintain model inference services, automate deployment pipelines, and ensure efficient collaboration with engineers and researchers.

The Field Application Engineer provides technical support for electronic and automation products, collaborates with sales teams, delivers training, and ensures customer satisfaction.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead the Connected Data team at MaintainX, driving the roadmap for machine data connectivity from various sources, collaborating with AI/ML and engineering teams, and ensuring effective product solutions and user value realization.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

Lead the AI/ML initiatives at Legion, develop forecasting models, manage a team of ML specialists, and engage with clients on tech adoption.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

As a Senior/Principal Machine Learning Engineer, you will design and build core ML systems for Workday's AI agents, owning the entire lifecycle from problem framing to deployment and improvement, while collaborating cross-functionally to create scalable solutions.

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.