Top Machine Learning Jobs in Calgary

NuBinary seeks a Fractional CTO specializing in AI. Responsibilities include leading AI projects, team management, and overseeing product development. Ideal candidates have extensive experience in AI-focused startups. The role includes potential future full-time employment options.

As an Applied AI Researcher, you'll develop algorithms for diverse data modalities, lead research efforts, and collaborate with teams to innovate in generative AI.

Seeking a proactive Partner Solutions Architect to guide partners in architecture, design, and implementation of Fireworks AI solutions, ensuring alignment with sales and engineering teams.

As a Backend Software Engineer, you'll design and develop core backend systems for AI workloads, focusing on efficiency, scalability, and stability while collaborating with cross-functional teams.

The Forward Deployed Engineer will engage with customers to understand their needs, delivering tailored solutions using the Fireworks AI platform while collaborating with the engineering team for continuous improvement.

As a Machine Learning Engineer at Delphina, you'll automate ML workflows, conduct research, and transform customer needs into product solutions, leveraging your software engineering and ML expertise.

The Staff Machine Learning Engineer will design ML models, enhance document processing systems, and build scalable ML pipelines to optimize risk assessment and user onboarding at Coinbase.

As a Machine Learning Researcher, you'll innovate telehealth care, collaborate on healthcare ML applications, publish research, and mentor interns.

As a Senior Machine Learning Engineer, you will develop and maintain advanced NLP applications for Poe, oversee machine learning systems, and collaborate on innovative AI-driven features.

The Machine Learning Engineer will optimize content distribution systems, improve existing ML systems, and collaborate on scalable models for Quora's recommender systems.

Responsible for developing and scaling the core components of the nELISA software stack, implementing internal tools, building data analysis pipelines, and collaborating with cross-functional teams.

The role involves developing end-to-end software agents with collaborative AI capabilities to assist engineering teams in solving complex problems.

As a Senior Staff Machine Learning Engineer, you'll develop generative AI/ML models, design algorithms, train large models, and collaborate with scientists for biological insights.

Develop and operate machine learning models and pipelines, collaborate with engineers to solve ML use cases in blockchain, and adapt to new technologies.

The Senior Machine Learning Scientist will design and implement ML models, lead projects, and communicate findings while mentoring cross-functional teams.

As a Senior Machine Learning Engineer, you'll develop advanced ML solutions to enhance security and user experience at Coinbase, focusing on fraud detection and recommendations.

Lead the design and integration of Generative AI solutions in Firefox, manage projects, optimize models, and collaborate with cross-functional teams.