Top Machine Learning Jobs in Vancouver

As a Machine Learning Support Engineer, you will address customer product issues, provide proactive guidance, and propose solutions to help clients succeed with Labelbox products.

The Senior Software Engineer II, Machine Learning will design and deploy ML algorithms, work with consumer data, and lead data teams.

The role involves improving machine learning ranking models, implementing algorithms, and taking full ownership of machine learning systems within Quora's product.

We are looking for a ML/DevOps Engineer to manage high-availability systems for machine learning models, focusing on cloud infrastructure, deployment excellence, and observability.

As a Machine Learning Intern at Ema, you will work on building and deploying machine learning models, analyzing datasets, and collaborating with senior engineers in a fast-paced startup environment.

The Staff Machine Learning Engineer will enhance Quora's recommendation systems, lead machine learning projects, and own end-to-end ML processes.

As a Senior Research Scientist at Clarifai, you will develop and optimize machine learning models, particularly in Computer Vision and GenAI, and collaborate across team to deliver innovative AI capabilities.

As a Senior Machine Learning Engineer, you will design ML systems for insights from data, manage the ML lifecycle, and develop recommendation systems through collaboration with cross-functional teams.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.

Design, build, and scale ML systems for demand forecasting and vehicle positioning. Collaborate with teams and mentor engineers to enhance ML expertise.

Lead the Safety ML team as a technical lead, driving ML systems development for safety, collaborating with cross-functional teams, and tackling complex safety challenges.

Develop AI solutions and enhance observability data using AI-powered features. Collaborate cross-functionally, iterate rapidly, and take ownership of AI projects while ensuring scalability and impact.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

You will build a search and assistant product, improve personalization, train models, and write robust code while mentoring junior engineers.

The role involves building production ML models for voice AI, focusing on fine-tuning, deploying, and evaluating models to enhance human-like interactions.

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.

As a Machine Learning Engineer, develop ML models, data pipelines, conduct analytics, and work on image and video inference for fish health and behavior.

The Senior Machine Learning Ops Engineer will design and build machine learning operations infrastructure, manage ML pipelines, experiment tracking, model deployment, and collaborate with engineering teams to enhance data and ML processes.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

As a Senior Machine Learning Engineer, you'll design and implement ML models, develop data pipelines, and collaborate on AI features at Mural.

The Senior AI Engineer will develop AI features for observability tools, collaborate with cross-functional teams, and deliver scalable AI solutions.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

Design and implement machine learning algorithms for robotic manipulation, focusing on RL and IL. Collaborate across disciplines to ensure integration and successful deployment.

Design, build, and deploy scalable ML solutions using GCP and Vertex AI. Collaborate with teams to operationalize models and monitor performance.