Top Machine Learning Jobs in Vancouver

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

The Machine Learning Engineer will develop and evaluate ML models, build inference pipelines, and collaborate with teams to enhance generative media capabilities.

The Data Analyst will handle data interrogation and preparation for predictive modeling, collaborate on projects, and create data assets for the P&C insurance market.

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.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

The Machine Learning Engineer will enhance LLM-powered chatbot technologies, focusing on knowledge ingestion and ML-based analytics, while engaging in research and development.

Seeking a Senior Machine Learning Engineer to develop advanced AI systems, managing datasets, enhancing performance, and collaborating across teams to innovate in self-driving technology.

As a Creative ML Technologist, you will develop and evaluate model-driven workflows, run experiments, measure outcomes, create integrations, and document processes for generative and perception models.

As a Machine Learning Engineer, you will build data pipelines, automate ML workflows, and enhance model performance through experimentation and collaboration.

As a Forward Deployed AI Engineer, you'll lead customer engagement, provide technical support, create documentation, and work on product feedback while leveraging AI expertise.

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

Seeking experienced Machine Learning Engineers to develop AI agents for HR & Finance, focusing on integration, tooling, and workflow orchestration.

Lead and mentor a high-performing team in developing machine learning applications. Drive innovation with AI technologies, ensuring project delivery and fostering cross-functional collaboration.

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.

You will lead product strategy, conduct market research, support sales, manage the product roadmap, and cultivate customer relationships for a healthcare software solution.

As a Solutions Engineer, you'll lead client technical engagements, scope solutions with the Sales team, demonstrate value of AI, and ensure customer satisfaction.

The role involves designing scalable AI solutions, managing large-scale AI deployments, building client relationships, and delivering presentations. Requires experience in MLOps and knowledge of ML ecosystems.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

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.

As a Senior Machine Learning Engineer specializing in Reinforcement Learning, you will develop and deploy RL solutions, optimize ML models, and lead client discussions while ensuring high-quality engineering practices are followed.

Lead technical initiatives in ML product development focusing on LLM and NLP systems. Mentor engineers, design models, and oversee data strategies while ensuring operational excellence and model performance.

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

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

The Staff Fullstack Engineer will drive technical excellence and innovation, focusing on AI-driven talent matching, mentor engineers, and collaborate across teams to shape technical strategy.

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.