Top AI Jobs in Vancouver

The Principal Software Developer for AI & ML Platform at Autodesk will lead the design and engineering of software systems for AI/ML, focusing on automation, workflow optimization, and deployment of ML solutions. The role includes collaboration across teams to enhance the AI/ML development lifecycle, leading architectural components, and managing big data transformation for scalable services.

Outlier is seeking a talented mathematician to help train generative AI models by evaluating the accuracy of AI-generated text, answering domain-specific math questions, and ranking AI-generated responses. This is a flexible remote freelance position requiring clear communication in English and French, preferably with a bachelor's or higher degree in mathematics or a related field.

Outlier seeks a Mathematics expert to assist in enhancing AI models by evaluating and ranking AI-generated content, crafting questions, and ensuring factual accuracy. This freelance role offers flexibility in hours and is remote.

The Junior AI Engineer will design, develop, and deploy ML models, maintain ML pipelines, and infrastructures on AWS. Responsibilities include writing clean code, collaborating with teams, and deploying prototypes for testing.

The Head of Software and AI Platform at Gauss Labs will lead a team of engineers in developing innovative AI software products for the manufacturing industry. Responsibilities include managing software architecture, ensuring quality and operational excellence, mentoring team members, and collaborating with product managers and technical teams.

The AI Engineer will design, develop, and deploy an advanced AI system for internal data creation and verification. Responsibilities include data management, model development using OpenAI's GPT, system integration, and continuous improvement of the AI system.

As a Software Engineer for the Chatbot AI team, you will design and implement the copilot framework to enhance user interaction with digital advertising campaigns. You'll develop backend APIs, integrate data sources, collaborate with stakeholders, identify performance issues, and participate in candidate evaluations.

The Head of Data at Influur will shape and execute the data strategy, managing a data team to collect, analyze, and interpret data, providing actionable insights. Responsibilities include designing data governance frameworks, implementing data pipelines, and communicating analytical findings to stakeholders.

The AI Infrastructure Engineer II will collaborate with cross-functional teams to design and maintain cloud infrastructure for AI/ML workloads using AWS and Azure, implement containerization and CI/CD pipelines, analyze system performance, and ensure high-quality infrastructure management. The role involves mentorship and continuous learning in cutting-edge cloud technologies.

The Senior AI/ML Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into existing applications. Responsibilities include collaborating with teams for version control, building CI/CD pipelines, and engaging with both technical and non-technical stakeholders. The role demands strong problem-solving skills and experience in regulated industries.

Join WEX's AI Infrastructure team as a Staff Engineer, where you'll design and maintain scalable cloud infrastructure for AI/ML workloads, collaborate with data scientists, and optimize CI/CD pipelines. You'll mentor junior engineers and contribute to the team's strategic initiatives.

Join the AI Infrastructure team at WEX as an entry-level Engineer, building and maintaining cloud infrastructures for AI solutions. Collaborate on designing, deploying and automating AI workloads using AWS, Azure, Docker, and Kubernetes, while gaining hands-on experience and learning from senior engineers.

As a Senior AI/ML Engineer, you'll design, implement, and maintain machine learning algorithms, and collaborate with cross-functional teams to integrate AI into applications. You'll manage version control with GitHub, create CI/CD pipelines, and design RESTful APIs while advocating for team decisions in a regulated environment.

The Senior AI Infrastructure Engineer will design and maintain robust cloud infrastructure for AI/ML workloads, collaborating with data scientists and ML engineers. Responsibilities include managing containerization and orchestration, optimizing CI/CD pipelines, ensuring system performance, mentoring junior team members, and troubleshooting technical issues.

The Senior Manager of AI/ML Infrastructure will lead a team to develop and manage cloud-native AI/ML infrastructure, focusing on both Generative and traditional AI/ML technologies. Responsibilities include overseeing the AI/ML model lifecycle, ensuring robust architecture, and collaborating with various teams to align infrastructure needs with business goals. The role emphasizes technical leadership and strategic development in a rapidly evolving technological environment.

As an AI Full-Stack Engineer, you'll develop user-friendly interfaces and robust systems, collaborating with engineers and product managers to build components for the Labelbox AI platform. You'll tackle complex challenges, ensure smooth operations, and lead process improvements while documenting technical solutions.

As an AI Software Engineer, you will create advanced AI discovery products by building recommendation models and query understanding systems while collaborating with product managers and engineers to deliver high-quality solutions.