Top AI Jobs in Toronto
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.
As a Senior AI Architect at SADA, you will develop state-of-the-art enterprise solutions using various AI technologies. Responsibilities include implementing AI solutions for clients, providing expertise on AI topics, and collaborating with stakeholders. Required qualifications include 4+ years of relevant work experience and expertise in designing and implementing Generative AI solutions.
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.
The Advanced Analytics and AI team at CIBC is seeking professionals with practical experience in Advanced Data Science to solve challenging business problems using advanced modeling and innovative solutions. The role involves collaborating with various teams, working with structured and unstructured datasets, and deploying end-to-end solutions.
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.
AI Programmer at Ubisoft Toronto responsible for programming AI for non-playable characters, collaborating with designers to maintain high standards of quality, and creating compelling AI experiences for players.
AI Software Developer needed to work on cutting-edge solutions for robotic manufacturing technologies in the construction industry. Responsibilities include designing and implementing AI algorithms, conducting research and experimentation, analyzing complex problems, and staying up to date with AI advancements.
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.
Seeking a Lead Engineer for the Data & AI Platforms team at Curinos. Responsibilities include designing and building data & AI platform functionality, owning full projects, implementing best practices, collaborating with product teams, and adopting new technologies. Desired skills include Python, SQL, Java, Scala, Spark, Databricks, generative AI, MLOps, and data engineering expertise.
Seeking a talented Edge AI Principal Engineer with expertise in GPU/TPU acceleration and local Large Language Models (LLM) inference. Responsibilities include high-level design, AI model optimization, team leadership, and collaboration on edge computing platforms.
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.
Develop and execute test scenarios and scripts for functional system integration and acceptance testing. Troubleshoot problems, provide technical training, and maintain test system configurations. Collaborate with teams to establish test plans, standards, and procedures. Monitor project adherence to quality standards and track testing progress.
Join our team as an AI Application Developer at CIBC to design, develop, and implement advanced Gen AI applications addressing complex business requirements. Collaborate with cross-functional teams, lead technical design and development, deploy Python applications on Azure, and mentor developers.
Seeking a Sr. Software Engineer with expertise in compilers and semiconductor technology to design, develop, and optimize compilers for cutting-edge semiconductor products. Responsibilities include developing machine learning graph compiler, optimizing performance of machine learning applications, integrating software into machine learning frameworks, and collaborating with machine learning engineers.
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.
Senior Software Engineer role at SoundHound AI focusing on building conversational voice assistants leveraging Generative AI. Responsibilities include combining software engineering skills with large language models, bringing new technologies to market, and building expertise in generative AI services. Ideal candidate has a Bachelor's degree in Computer Science and 7+ years of industry experience.
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.
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