Top Machine Learning Jobs in Toronto

The Lead Vehicle Systems Engineering team member will lead a team in designing, implementing, and testing software and hardware solutions for the automotive sector while collaborating with cross-functional teams to ensure innovative product development and integration with Geotab's platform.

The Software Developer I will design, develop, and implement software products for business projects, collaborating with teams and stakeholders. Responsibilities include coding, testing, quality assurance, and maintaining documentation while staying updated on new technologies and best practices.

The Lead BSA will analyze and document requirements for predictive analytics and machine learning model products, oversee program delivery, and lead business analysts in ensuring effective implementation. Responsibilities include collaboration with various teams, managing data engineering tasks, and facilitating user acceptance testing.

As a Senior Machine Learning Engineer, you will conduct independent research, create tools for enhancing LLM security, and engage with the community. You will analyze, visualize, and interpret data while working with independent researchers to validate findings and present them at conferences.

As a Staff Software Engineer, you will design and implement generative AI solutions for customer care, collaborating with AI/ML teams to create scalable chatbot solutions, mentoring other engineers, and ensuring quality compliance in your innovations.

As a Senior Staff Back-end Engineer at Faire, you will develop next-generation search capabilities for local retailers, focusing on optimizing search infrastructure and leveraging machine learning. You will work with cross-functional teams to enhance search relevance and performance, addressing complex challenges in a growing marketplace.

As the Engineering Lead Manager of Data Science, you will oversee the research, development, and production of machine learning and data science algorithms, managing extensive data pipelines and processing billions of auction events in a reliable system. Your leadership will guide a team in creating technical solutions that ensure global efficiency and rapid response in our operations.

As a Senior Data Engineer (Reasoning ML) at a company specializing in autonomous vehicles, you will be responsible for creating and curating datasets for training and evaluating ML planner components. You will build effective data analysis tools, work on ML model development, and actively participate in operational support for the team. Responsibilities also include developing data pipelines, implementing metrics, leveraging the Oxa Metadriver™ platform, and contributing to hiring and onboarding new team members.