Top AI Jobs in Vancouver

The Applied AI/ML Engineer will architect and implement AI/ML solutions, evaluate new technologies, and bridge theoretical research with practical applications to drive innovation at Monks.

Lead the Data Platform Team at Workday to innovate in data ingestion and management for machine learning applications. Responsibilities include designing data pipelines, ensuring data integrity and security, collaborating with product teams, and mentoring team members.

The Staff Machine Learning Engineer at Altos Labs will design and optimize large-scale machine learning systems, collaborating closely with computational scientists across various disciplines. Responsibilities include building data transformation pipelines, managing model serving, and mentoring software engineers while promoting effective software engineering practices.

The Senior MLOps Engineer will ensure the operational efficiency of Autodesk's AI/ML Platform by optimizing MLOps practices, implementing automated deployment, and maintaining scalable infrastructure. Responsibilities include monitoring model performance, enforcing security compliance, and collaborating with data engineers to enhance the AI/ML lifecycle. This role requires a strong background in DevOps, cloud platforms, and machine learning frameworks.

The Engineering Manager will lead a team of software and ML engineers in developing and maintaining a next generation AI/ML platform. Key responsibilities include driving the technical strategy, managing projects, mentoring staff, and collaborating across departments to meet organizational goals.

As a Responsible AI Research Scientist-Manager, you will develop AI systems focusing on safety and reliability, lead research projects, collaborate with teams, publish findings, and manage a small team to address responsible AI practices across Autodesk's products.

This role involves leading AI governance efforts to ensure responsible AI practices across various teams. Responsibilities include advising leadership, collaborating on AI projects, conducting assessments of AI frameworks, and developing training programs. The consultant will stay updated on industry trends and work with stakeholders to implement policies for responsible AI development.

The role involves leading the design and engineering of Autodesk's AI/ML platform, enhancing ML development processes, and collaborating across teams to deliver scalable services and systems. Key responsibilities include managing big data, deploying ML solutions, and providing architectural guidance.

The AI Generalist will collaborate with cross-functional teams to develop and deploy AI solutions that enhance business performance. Responsibilities include staying updated on AI trends, providing technical guidance, and ensuring successful project delivery within scope and budget. A strong focus on innovative problem-solving and effective communication is essential.

The role involves leading the design and development of AI-powered applications focusing on Generative AI technologies. Responsibilities include creating scalable platforms, driving research initiatives, overseeing application development, ensuring optimal performance, and collaborating with cross-functional teams. Mentorship and adherence to AI governance standards are also key components of this position.

As a Senior Software Engineer in AI, you will design and deploy AI solutions to enhance guest experiences through automation. Responsibilities include developing AI models for customer interaction, working with large datasets, leading AI development, and collaborating with cross-functional teams to improve model performance and ensure ethical AI practices.

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.

The Senior Backend Engineer (AI/ML) will design and implement REST APIs for AI/ML back-end services, optimizing for scalability and low latency. Responsibilities include collaborating across teams, resolving performance issues, enhancing system reliability, and ensuring secure user data handling.

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 Senior AI Platform Engineer at Instructure will design and implement APIs, build scalable AWS infrastructure for LLM interactions, and maintain services to enhance online learning tools. The role requires collaboration with feature teams and establishing best practices for AI integration.

Lead the development of AI/ML technology and infrastructure, guiding teams to deliver high-quality solutions. Collaborate with various teams to meet business needs, ensure data security, and maintain operational excellence. Set project goals and mentor engineering teams while driving innovation and continuous improvement.