Top AI Jobs in Ottawa

The role involves designing AI-powered tools to enhance developer productivity, improve code quality, and streamline engineering processes. It requires collaboration with engineers to integrate tools into workflows and a strong focus on continuous improvement through metrics and insights.

Lead design and implementation of AI product initiatives on Edge devices, optimizing ML models, and collaborating across business units to enhance performance and customer experience.

As a Senior Machine Learning Platform Engineer, you'll enhance ML infrastructure, mentor juniors, and optimize data pipelines for high performance.

Design and implement technical evaluators for LLM assessment, optimize dataset management, and collaboratively build scalable evaluation frameworks to ensure reliability of AI models.

Lead GitLab's Custom Models team, manage high-performing engineers, and develop AI solutions tailored to customer needs while promoting innovation and collaboration.

Develop and improve the GitLab product with focus on AI capabilities and integration of technologies while collaborating in a remote team environment.

As a Staff Firmware Engineer, you will lead the design and development of embedded solutions, drive technology choices, and collaborate with the hardware team to ensure the accuracy of AI algorithms on edge devices. You will mentor engineers and oversee high-impact projects.

Design, implement, and improve components for Braze's AI platform, collaborating across teams and ensuring customer success with a focus on clean code and best practices.

The Senior Applied AI/ML Scientist leads the development of AI/ML solutions, collaborates with teams, and drives product innovation to enhance customer value.

As an Intermediate Frontend Engineer, you will develop UI for GitLab's AI discovery platform, collaborate with teams, and maintain code quality.

The JavaScript Developer will create training data for AI models, evaluate AI-generated code, and develop functional web applications using JavaScript and React.

The Software Engineer will train large-language models by evaluating and improving AI-generated code, focusing on code quality and correctness.

As an Intermediate Machine Learning Engineer, you will develop evaluation techniques, manage large language models, and collaborate on AI feature implementations, ensuring product quality and performance.

Help train large-language models to evaluate, critique, and improve production-grade code across multiple programming languages, focusing largely on Python.

Join the AI & Autonomy Team to support spacecraft applications, develop ML algorithms, and work closely with engineers on space exploration missions.

Join an annotation team to create training data for AI models. Responsibilities include verifying testing logs, categorizing problems, writing notes, evaluating AI-generated code, and solving coding problems across various languages.

Developers will evaluate AI-generated code, build React components, solve coding problems, and create instructional content for AI training.

The role involves training large-language models to write code, ranking code snippets, and refactoring AI-generated code while providing feedback to optimize models.

The AI Solution Engineer will develop AI-powered workflows, collaborate with teams on scalable solutions, and utilize Microsoft Azure tools for automation within a healthcare SaaS environment.

The Staff Software Engineer will lead and develop LLM-powered features, collaborating with teams to enhance user experiences in a browser context.

As a Founding Engineer, you'll develop AI applications, build scalable environments, design user interfaces, and collaborate with customers to enhance bioinformatics processes.

Design and develop user interfaces for web applications, collaborate on user experiences, maintain API integrations, and contribute to back-end development.

The Senior AI Engineer will design and execute ML solutions on GCP, lead projects, and communicate technical concepts to clients. Strong expertise in AI/ML is essential.

The AI Application Developer will design and deliver AI-driven applications, analyze data, fine-tune AI models, and implement best practices for AI solutions.

Help train AI models by crafting questions related to computer science and evaluating AI-generated code. Flexible freelance opportunity.