Top Machine Learning Jobs in Ottawa

As a Staff Machine Learning Engineer at Twilio, you will develop and deploy machine learning models using advanced technologies, collaborate with various teams to refine ML models, and leverage AI solutions to meet customer needs. Your role will focus on creating supervised ML models and GenAI applications while integrating enterprise data sources.

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 Machine Learning Scientist I, you'll support the development of machine learning projects focusing on LLMs and related technologies. Responsibilities include data gathering, analysis, and model prototyping. Collaborating with senior scientists, you'll stay updated on AI advancements and enhance your skills while fostering a culture of continuous learning within the team.

As a Machine Learning Performance Developer at Autodesk, you will implement GPU kernels for low precision inference, optimize machine learning tasks, train models, and collaborate with a global team on AI-powered product features. Your role includes profiling code, preparing appropriate environments, and presenting results.

The Staff Software Engineer will design scalable product architectures to enhance machine learning capabilities, solving complex problems with high ambiguity while leading cross-team collaborations and mentoring junior engineers. They will be responsible for high-quality code delivery and contributing to innovative improvements across the engineering organization.

As a Senior Machine Learning Engineer at Pinterest, you will lead the development of ML systems for content extraction from webpages, utilizing techniques like NLP and LLMs. Responsibilities include training models using Python, HuggingFace, and PyTorch, mentoring interns, and optimizing DNN models while ensuring production quality and evaluating model impact.

As the Engineering Manager for Ads Retrieval at Reddit, you will lead a team of ML engineers in developing large-scale retrieval systems and sourcing models for ads. You will define technical strategies, oversee model development, mentor your team, and collaborate with cross-functional stakeholders to ensure alignment with product goals and improve performance metrics.

As a Senior Machine Learning Engineer at League, you will leverage statistical techniques and machine learning to enhance product capabilities in healthcare. You'll work with a multi-disciplinary team to build and deploy ML models, utilizing a sophisticated tech stack. Your role involves collaboration with stakeholders to solve complex problems, manage the entire machine learning product lifecycle, and ensure successful integration into the backend.