Top Machine Learning Jobs in Vancouver

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.

As a Senior Machine Learning Engineer, you will develop ML/AI applications, enhance operational safety and efficiency, and collaborate with various teams on innovative projects.

Lead and manage Creative Innovation projects from prototype to production-ready, ensuring alignment across teams and translating creative goals into actionable plans while maintaining project clarity and risks.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

This role involves developing advanced ML models for 3D reconstruction, optimizing performance, productionizing components, and collaborating with teams.

The Machine Learning Engineer II will implement and maintain ML models, design feature pipelines, optimize systems and collaborate with teams to deploy machine learning applications across various domains at Remitly.

Lead the design and implementation of AI-driven forecasting and financial modeling systems, collaborating across teams to enhance decision-making and operational reliability.

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

As a Sr. ML/Edge AI Firmware Engineer, you will develop firmware for video safety products, manage production systems, mentor engineers, and drive architectural initiatives for camera-based systems.

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

Join the R&D team to develop ML/AI models leveraging data for ad tech. Collaborate on the full project lifecycle in a flexible, remote environment.

The Senior Machine Learning Engineer at Dropbox will design, build, and deploy ML systems, mentor teams, and optimize models for user personalization.

Design and maintain ML pipelines, build data ingestion tools, collaborate with data teams, ensure data quality, and solve technical challenges in a fast-paced environment.

Develop machine learning models to detect and reduce fraud within Block's ecosystems, while collaborating with various teams to implement solutions.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.

The Technical Recruiter will manage full-cycle recruiting for technical and product roles, ensuring a strong pipeline of candidates and a high-quality candidate experience while using data to improve processes.

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

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

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.

Seeking a Senior Staff Machine Learning Engineer to lead AI/ML model design and implementation for fraud detection and risk management, collaborating across teams to enhance security systems.

As a Senior Machine Learning Engineer, you will own a risk domain, architect ML systems, mentor engineers, and apply advanced ML methodologies to enhance security measures against fraud and scams.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance security, improve model performance, and respond to new threats in the Coinbase platform. Responsibilities include collaborating with stakeholders and applying advanced ML techniques.

As an AI & Automation Engineer, you'll lead automation initiatives, integrate AI and machine learning technologies, manage project lifecycles, ensure data quality, and collaborate cross-functionally to optimize processes.

As a Machine Learning Engineer, you'll develop AI and ML models, optimize processes, create scalable ML tools, and collaborate with data scientists to manage data and deploy solutions.