Top Python Jobs in Toronto

The Staff Software Engineer will lead the design, development, and delivery of AI services at Moonhub, tackling complex problems using software and AI. The role involves collaborating with product and design teams to create scalable systems and innovative solutions, requiring strong technical expertise and leadership skills.

As a Staff Software Engineer, you will design and implement backend APIs and services to enhance Voxel’s site intelligence platform. You will collaborate with various teams, lead engineering projects, and deliver scalable technical solutions that meet client needs, while also mentoring other engineers and ensuring code quality through best practices.

As a Staff Software Engineer focusing on DevOps, you'll build and maintain cloud infrastructure and distributed systems, develop DevOps practices for AWS EKS deployments, create infrastructure configuration coding modules, design architectures for real-time AI video processing, and ensure that security best practices are implemented.

As a Machine Learning Researcher, you will engage with complex problems and propose solutions by staying current with machine learning advancements, conducting rigorous experiments, evaluating model performance, and iterating on architectures to optimize results. You will collaborate effectively and communicate clearly with both technical and non-technical stakeholders.

As a Machine Learning Software Engineer, you'll build and improve ML-powered systems, propose technical architectures, design and manage the ML pipeline, and ensure effective communication in a remote environment. Your role will focus on delivering real business impact through scalable machine learning solutions.

As a Backend Software Engineer at Doxel AI, you'll design and maintain APIs for frontend applications, optimize data pipelines, and manage data storage using DuckDB and PostgreSQL. Collaborating with cross-functional teams, you'll work on integrating local client-side computation and enhance reliability and performance of the data processes involved in construction insights.

As a Software Architect, you will define architectural vision, lead large-scale initiatives, and foster innovation within a centralized analytics team, emphasizing cloud architecture and distributed systems. You will mentor teams, collaborate with senior leadership, and contribute strategically to align technical direction with business goals.

The Senior AI Acceleration Engineer will optimize and accelerate machine learning models for embedded hardware, utilizing techniques like quantization and pruning. Responsibilities include developing custom kernels using CUDA and OpenCL, collaborating with cross-functional teams, and analyzing model performance to enhance efficiency.

The Sales Engineer at Nightfall AI will manage the technical sales process, consult with customers on their needs, demonstrate the platform, and provide solutions to enhance data security. Responsibilities include conducting assessments, designing implementation strategies, and presenting at trade shows.

The Software Engineer will design and implement machine learning algorithms for computer vision applications, focusing on deep neural networks for tasks like object detection and sensor fusion. Responsibilities include developing automated training pipelines, dataset curation, and collaborating with team members to enhance system performance.

As a Senior Software Engineer specializing in deep learning for computer vision, you will design machine learning algorithms, lead the development of deep neural networks, and work with various sensor data to enhance robotics applications. You'll also set up training pipelines and collaborate with team members to improve performance.

As a Senior Software Engineer in Machine Learning Infrastructure, you will design and implement infrastructure for training and deploying deep learning models. You will develop metrics, optimize training pipelines in distributed environments, measure model performance, and collaborate with various engineering teams to enhance self-driving technology.

As a Junior Cloud Field Engineer, you'll help companies implement cloud infrastructure and solutions using Linux and cloud-native operations. Responsibilities include deploying and testing technologies like OpenStack and Kubernetes, developing with Python, and providing customer-focused solutions. You'll also coach peers and participate in projects, with a potential for travel up to 25%.

As an Applied Research Engineer, you will develop systems for high-quality human-in-the-loop data, working on AI training processes like RLHF. Responsibilities include designing algorithms, measuring data quality, creating AI tools, and publishing research findings while collaborating with teams and engaging with the AI community.

The AI Growth Engineer will engage with the AI community by creating content, building connections, and conducting short research projects that may involve writing code and testing AI models. The role focuses on enhancing Arize’s visibility in the AI space through various platforms and developing community-driven content.

The Research Engineer will lead AI research projects that focus on new AI models and industry knowledge gaps. Responsibilities include creating thought-provoking research for AI developers, executing fast-paced research, writing for social media and blogs, and representing the company at industry events.

The Senior Software Engineer will lead the design and implementation of a chatbot framework to enhance digital ad campaign management, integrate data sources, and collaborate with teams to solve technical challenges, focusing on performance optimization and user engagement.