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Leads AI/ML solutions for media localization (e.g., captioning, translation) by designing scalable systems, mentoring teams, and driving data-driven innovation in production environments.
SAIC is seeking a highly motivated and skilled Software/Computer Engineer to contribute to concept development, design, and integration of projects involving remote weapon systems and autonomous systems. In this role,…
Applications are invited for appointment as Professor of Practice/Associate of Practice in the School of Future Media (Ref.: 534481), to commence in September 2026 or from as soon as possible thereafter, on a…
Academic role teaching and researching in computing/data science, AI, fintech, and related fields, with focus on research excellence and graduate supervision.
Applications are invited for appointment as Senior Lecturer/Lecturer (several posts) in the School of Future Media (Ref.: 537024), to commence in Spring 2027 or from as soon as possible thereafter. The appointment rank…
Develop and maintain embedded C/C++ flight software for robotic space vehicles, focusing on fault detection, hardware-in-the-loop testing, and integrating subsystems using UART, TCP/IP, and CAN.
Senior AI/ML scientist building production-grade models for demand forecasting, personalization, and generative AI at a global athletic-apparel retailer.
Optimize and support large-scale AI workloads on a national supercomputer, profiling models and advising researchers in multimodal AI, healthcare, and AI for Science.
About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most…
This role involves building and scaling interactive, high-performance web applications for radiology, utilizing modern frontend technologies like React and TypeScript to help doctors interact with medical images.
The Backend Software Engineer will build data-intensive services and APIs to support medical imaging and radiology applications using Python and Django. The role involves collaborating with cross-functional teams to architect scalable solutions and mentor junior engineers.
The Senior Software Engineer will design and maintain AI-powered vision infrastructure for manufacturing environments, focusing on edge computing, system reliability, and IoT device management. The role requires strong Python skills and experience deploying production-grade software on Linux-based edge devices.
The Product Engineer will build full-stack tools for AI data annotation and workflow automation using TypeScript, Node.js, GraphQL, and React. This role involves collaborating with cross-functional teams to develop scalable infrastructure that supports generative AI and computer vision research.
The Head of IT and Information Security will build and manage the internal infrastructure, cybersecurity posture, and compliance frameworks for a seed-stage AI startup. This role involves overseeing IT operations, vendor management, and security audits to support the company's rapid growth.
Senior Technical Product Manager translating ML research and cloud engineering into a production roadmap for a wildfire prevention startup, working with large-scale data pipelines, machine learning systems, and cloud-native architectures.
Senior Deep Learning Engineer designing, training, and deploying perception models for ADAS systems on embedded automotive SoCs using Python and PyTorch/TensorFlow.
This is a senior full-stack developer role requiring 5 days onsite in Toronto to build and maintain data pipelines, RESTful APIs, and responsive UI architectures using NextJS, Python, and .NET Core. The position involves full-stack development, troubleshooting, and collaboration across the software development lifecycle.
Build and deploy AI/ML models in Python using TensorFlow/PyTorch to power business products, integrating them via cloud platforms and MLOps pipelines.
This senior full-stack developer role involves leading technical delivery, mentoring junior staff, and architecting complex cloud-based applications. The position requires deep expertise across the stack, including React.js, Python, .NET, and Azure, alongside hands-on experience with AI/ML model training using TensorFlow and PyTorch.
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