Top AI Jobs in Ottawa

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

The Account Executive will manage the full sales cycle for enterprise and scale-up accounts, building relationships with technical buyers and collaborating closely with senior leadership to drive revenue and shape sales strategies.

Design and execute test plans for AI-driven software, automate test case creation, analyze results, collaborate in teams for quality assurance.

As a Lead Sales Engineer, you will oversee technical sales for East Coast clients, communicating product benefits, conducting needs assessments, and fostering customer relationships while collaborating with sales teams.

The AI Full Stack Developer will design and build AI applications using modern technologies, developing prototypes and production-ready systems while collaborating with various teams to leverage AI capabilities and enhance performance.

The Sr. Staff Engineer will verify AI/HPC systems, develop test strategies, and create complex verification environments, collaborating on SoC methodologies.

The AI Strategy Consultant will drive marketing strategy using AI, work with teams to implement solutions, and enhance customer outcomes.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

The Staff Platform Engineer will design and implement scalable infrastructure for AI applications in manufacturing while ensuring reliability, operability, and cross-team collaboration.

As an AI Engineer, you will develop and deploy computer vision models, monitor their performance, own AI projects, and collaborate cross-functionally.

The Senior Software Engineer, Voice AI will design and implement complex systems for emergency response communications, oversee AI integrations, and provide technical mentorship.

The Elastic AI Engineer will design agentic workflows, integrate AI models with tools, manage deployment, and ensure data security while leveraging the Elastic Stack for enterprise solutions.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

As a Staff Forward Deployed Engineer, you'll bridge technical gaps between large models and clients, ensuring successful deployments in drug discovery and simulations.

Define strategy for ASICs and co-packaged optics platforms, lead integrated system development, and collaborate with customers for AI network solutions.

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

Lead AI strategy and execution, implementing customer automation, refining data governance, and driving engagement through AI-driven experiences.

The Account Executive will sell AI-driven solutions in the automotive sector, owning the full sales cycle and building relationships with dealerships to drive revenue growth.

The Senior Director, AI Engineering will lead the Machine Learning and Data Science teams, defining strategy, and embedding AI in products. Responsibilities include overseeing model development, team management, and integrating LLM and NLP technologies.

Lead development for the AI platform and manage customer experiences at Jerry.ai, integrating LLMs and APIs to improve efficiency and automation.