Top Machine Learning Jobs in Vancouver

As a Senior Machine Learning Platform Engineer, you'll enhance ML infrastructure, mentor juniors, and optimize data pipelines for high performance.

Drive causal inference capabilities using multi-modal datasets, develop scalable software systems, and research innovative bioinformatics approaches for drug discovery.

The Principal MLOPs Engineer will architect and optimize an ML inference platform, collaborate with teams to meet business goals, lead engineering efforts, and mentor team members.

Develop and implement advanced geometry processing techniques and tools for Unreal Engine while collaborating closely with users and internal teams.

Design and implement technical evaluators for LLM assessment, optimize dataset management, and collaboratively build scalable evaluation frameworks to ensure reliability of AI models.

Lead the engineering strategy and team at interface.ai, driving technological development, managing resources, and delivering innovative AI solutions for banking institutions.

Lead the development of AI models and prototypes, oversee technical architecture, and mentor a team in producing innovative AI solutions and products.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

Design and implement machine learning algorithms in C++ and Python, focusing on deep learning for computer vision. Work on real-world robotics challenges including lane detection and object classification.

The Senior Machine Learning Engineer will enhance AI systems for patient and physician features, evaluate ML models, and mentor junior engineers.

The ML Engineer will enhance AI systems for healthcare applications, collaborating with multidisciplinary teams and developing machine learning models and evaluations.

The Director of Engineering (Data) leads the technical foundation for data platforms and AI, defining strategy and driving collaboration to deliver impactful data products.

As a Machine Learning Engineer, you will develop and optimize large-scale ML systems, collaborating with scientists and managing workflows in cloud environments.

NuBinary seeks a Fractional CTO specializing in AI. Responsibilities include leading AI projects, team management, and overseeing product development. Ideal candidates have extensive experience in AI-focused startups. The role includes potential future full-time employment options.

As a Machine Learning Researcher, you'll innovate telehealth care, collaborate on healthcare ML applications, publish research, and mentor interns.

As a Machine Learning Engineer at Workday, you will develop tailored user experiences using ML techniques, collaborating to deliver solutions across products, focusing on advanced models and large datasets.

The role involves developing end-to-end software agents with collaborative AI capabilities to assist engineering teams in solving complex problems.