Top Machine Learning Jobs in Vancouver

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

The role involves leading and implementing Machine Learning solutions, from problem framing to model deployment, while collaborating with various stakeholders.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

The Staff AI/ML Product Manager at Quandri oversees the product lifecycle for ML features, coordinating between engineering and stakeholders, managing initiatives, and ensuring product excellence through iterative development and feedback.

The Technical Manager, PX Platform will oversee the development and operation of systems for Player Experience, manage tools integration, and enhance service improvements through automation and data management.

As a Platform Architect, you will design and implement a scalable AI technology platform and collaborate across teams to meet user requirements and business objectives.

The role involves building scalable data pipelines for the Replica product, ensuring efficient data flow for training and evaluation while collaborating with ML engineers.

Develop and integrate machine learning models focused on pose estimation and structure-from-motion for improving geometric reconstruction pipelines.

Lead the Product Marketing Management team to drive revenue growth and market awareness, overseeing product strategy, pricing, and cross-functional alignment while mentoring the team and advocating for customer insights.

The Machine Learning Engineer will design, implement, and optimize machine learning models for character animation and crowd simulation, collaborating across teams.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

Lead the development of advanced AI and machine learning models, mentor junior data scientists, and set strategy and direction for the Data Science team.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

The AI-Native Product Manager will drive the development of AI-driven features and automated workflows in retail e-commerce, prototype solutions, and influence product strategy, leveraging AI and automation to enhance customer experience.

As a Founding Engineer at Outspeed, you will develop and optimize TTS models, enhance speech quality, and engage with customers for system improvements.

The Senior ML Performance Engineer will architect a Performance Testing Platform, optimize ML performance on GPUs, and validate model efficiency.

The Senior AI/ML Engineer will architect, build, and deploy AI systems, working with clients to understand their needs and applying MLOps practices to enhance AI services.

Develop scalable machine learning models, collaborate with teams, create proofs of concepts, and write maintainable code while engaging in the entire ML development cycle.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

Seeking a Data Scientist/Machine Learning Engineer specializing in Recommendation Systems to build scalable models and enhance user experience. Responsibilities include end-to-end project ownership and cross-functional collaboration.

The Senior Machine Learning Engineer will build and deploy NLP and LLM models, enhance system architecture, and collaborate with cross-functional teams for impactful outcomes.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

The Machine Learning Engineer will develop and deploy ML models, leveraging analytical skills to automate processes and reveal data value.

The Senior Machine Learning Engineer will design and optimize ML discovery features, oversee projects, mentor engineers, and manage the ML lifecycle from data ingestion to model deployment.