Top AI Jobs in Vancouver
The AI Research Engineer will be responsible for designing and building large-scale data pipelines for language models. They will also optimize and enhance the training and inference infrastructure, as well as improve model performance and accuracy.
Seeking an AI Engineer & Researcher to work on building AI systems that accurately understand the universe and aid humanity in its pursuit of knowledge. Responsibilities include building features, monitoring data quality, driving data collection projects, and innovating new data generation methods. Must have strong communication skills and experience in web application development, collaborating in cross-functional environments, and connecting machine learning model behavior to data quality.
Seeking a Presales Solutions Architect with 3+ years of experience in customer-facing roles, knowledgeable in data needs of AI applications. Responsibilities include supporting pre-sales efforts, collaborating with clients, translating use cases into AI solutions, and developing pricing models. Must have strong communication skills, Excel proficiency, and technical expertise in scripting languages, database systems, and AI technologies.
Lead projects implementing state of the art tradeoffs between model accuracy, cost, and latency to deliver superb search experience. Create automatic systems to continually improve performance of deployed systems. Advocate for and deliver novel machine learning uses in search.
Lead the design, development, and integration of Generative AI solutions in Firefox, collaborate with cross-functional teams, build infrastructure for training and inference of models, implement testing procedures, monitor and optimize deployed models.
Seeking a Senior Staff Full-stack Engineer to develop and grow new Generative AI driven products and tools for Firefox at Mozilla Corporation. Responsible for major Generative AI integrations, ensuring software quality and maintainability, and collaborating with various teams and third-party providers.
Senior Front-end Engineer at Mozilla Corporation responsible for developing and growing new Generative AI driven products in Firefox. Collaborate with designers and engineers to improve the web experience, work with distributed teams, provide constructive feedback, and enhance codebase architecture. Keen interest in Generative AI and privacy preservation.
Design, develop, and maintain Python-based microservices architecture in a K8s environment. Implement CI/CD pipelines, manage infrastructure using IaC, optimize performance, and ensure security best practices. Collaborate with cross-functional teams to drive forward product vision and customer success.
Senior AI Engineer at WEX responsible for designing, implementing, and maintaining scalable full-stack components, integrating AI models, managing CI/CD pipelines, and collaborating with cross-functional teams.
As an AI GPU Performance Engineer at Modular, you will design, develop, and optimize high-performance AI numerical kernels for GPUs. You will collaborate with teams to deliver top-tier performance and guide system development for ML trends.
Looking for an Artificial Intelligence Engineer to contribute to student learning experiences through AI technology. Responsible for designing and implementing AI features, working on code reviews, and collaborating with various teams at Kira Learning.
Mistral AI is hiring an AI Scientist to work on pre-training and fine-tuning large language models. Responsibilities include modifying and equipping language models, participating in pre-training efforts, and designing annotation processes. Candidates should have a high scientific understanding of generative AI and technical engineering competence. The company is a small team of researchers and engineers passionate about AI.
Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.
Join the AI Residency program at SandboxAQ focusing on Machine Learning in Quantum Security. Work on developing ML algorithms for cybersecurity applications and collaborate with a diverse team of experts in cryptography, mathematics, and physics. Analyze large-scale security data to drive innovation and insights.
As an AI Architect, you will design and implement AI solutions to solve key business problems. You'll work with stakeholders to understand their needs, create a roadmap for AI projects, and deploy effective AI tools. Your role includes training the team on AI technologies and ensuring that AI systems are well-integrated and effective. Staying up-to-date with AI trends and ensuring data quality will be essential to your success in this role.
Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.
As a Senior/Staff AI Engineer at Agility Robotics, you will lead a team to develop cutting-edge autonomous capabilities for humanoid robots, focusing on visuomotor policies, planning, and leveraging text and image models. You will stay updated on AI advancements, implement ML algorithms, pursue a research agenda, and train models on various data sources.
High-impact software engineer role at Mutiny, working on AI-powered personalized experiences and data services. Responsibilities include building tools for B2B companies, collaborating on AI features, designing and running research experiments, and setting direction for data and AI strategy.
As a Staff Software Developer at CoLab, you will work on cutting-edge projects, develop best practices for software teams, mentor build team members, and design production infrastructure for ML models. Join a groundbreaking team that values innovation and fosters professional growth.
Perplexity is seeking an experienced Full Stack AI Software Engineer to help revolutionize the way people search and interact online. Responsibilities include proposing novel product features, staying updated on AI advances, improving codebase speed and quality, and collaborating across disciplines. Qualifications include strong programming skills across the full stack, 2+ years of industry experience, and a proven track record with LLM APIs.
AI Engineer & Researcher focused on building data processing systems, managing cloud compute clusters, and pre-processing datasets for AI training. Strong communication skills and passion for improving data and models required.
Lead and grow a team dedicated to improving platform functionality and user experience, focusing on AI automation and productivity features. Drive strategic initiatives to align engineering efforts with business goals. Provide technical guidance, mentor engineers, and collaborate with product managers to enhance product features. Spearhead the integration of AI technologies into the platform.
Own large new areas within our data management software, and build them from ground up. Participate in the entire product lifecycle from concept through production. Be able, and willing, to multi-task and learn new technologies quickly.
Seeking a passionate and innovative Senior AI Engineer to spearhead the development and integration of leading AI technologies using Unreal Engine 5. Responsibilities include designing AI systems, collaborating with game design team, and optimizing AI algorithms for performance.
The AI Engineer & Researcher at xAI will focus on training neural networks at scale, mastering all data modalities, implementing state-of-the-art methods, and innovating new ideas in the field of AI. Ideal candidates will have experience building distributed training systems, working with JAX/XLA, and debugging third-party source code.
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