Top Software Engineer Jobs in Ottawa

The role involves designing and developing machine learning infrastructure for annotation, evaluation, and training models, focusing on scalable systems and efficient data workflows.

Develop, maintain, support, and enhance enterprise eCommerce solutions using Oracle Commerce. Collaborate with teams to improve services and applications.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Staff Software Engineer on the Growth Platform team, you will lead the technical strategy for backend systems, drive collaboration, ensure system sustainability, and foster team culture and talent development.

The Senior Software Engineer focuses on developing backend systems, managing APIs, collaborating with teams, and ensuring operational availability while participating in community building within the team.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

Own and drive technical outcomes for Dropbox, defining long-term strategies. Lead AI adoption, influence roadmaps, and ensure engineering excellence across multiple teams, remaining hands-on in software development.

Join Quora's data infrastructure team to build and maintain data lakes, pipelines, query engines, and dashboards. Work on scalability, cost and performance improvements, participate in planning and on-call rotations, and contribute to tooling and reliability. Mentorship and training provided for new graduates.

As a Senior Software Engineer at Babylist, you'll develop systems for a $1B marketplace, focusing on revenue, product experience, and platform infrastructure. Collaboration with product managers and mentoring of team members are key aspects of the role.

The role involves developing and implementing Fluent Commerce solutions, integrating OMS with various enterprise systems, and ensuring high performance and scalability.

The Software Engineer will architect and implement scalable microservices, optimize infrastructure performance, and standardize best practices in a remote-first environment.

Lead the development of high-performance web applications, mentor junior engineers, influence architecture, and deliver exceptional user experiences.

As a Software Engineer at Point, you will support Docket Operations by implementing features, maintaining code, debugging, and collaborating with product and design partners, while growing your technical skills.

As a Software Engineer at Keycard, you'll design, develop, and implement identity and access infrastructures for dynamic, agent-native systems. You'll work on innovative projects that enhance developer experience and security, collaborating closely with a distributed team.

Develop and maintain the Keycard Agent SDK, ensuring compatibility with various languages and frameworks, while engaging with the developer community to enhance agent applications.

As a Software Engineer on the macOS team, you'll build and scale Speechify's core desktop experience, ship production-ready code, and collaborate with cross-functional teams.

Join the Platform team at Speechify to build and optimize complex end-to-end systems while participating in product decisions and enhancing user experience.

The Senior Software Engineer will develop software solutions, enhance tools and systems, mentor junior engineers, and manage infrastructure deployments.

Design and develop fullstack applications for real-time safety alerts and in-cab workflows, mentor engineers, and collaborate across teams.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.