Top Machine Learning Jobs in Calgary

As a Staff Machine Learning Engineer, you will build and deploy ML models for personalization features in Cash App, collaborating with product and marketing teams to enhance user experience and drive growth.

As a Senior Machine Learning Engineer, you will develop and deploy machine learning models to enhance personalization experiences for Cash App users, collaborating with product and marketing teams.

The Sr. Machine Learning Engineer will build scalable ecosystems, collaborate across teams, innovate with ML technologies, and maintain data pipelines while ensuring coding quality and best practices.

As a Senior Machine Learning Modeler at Block, you will develop scalable machine learning solutions to assess financial crimes risk. You'll collaborate with stakeholders to improve data utilization, maintain production software, and document processes while leading the ML team and staying updated on industry advancements.

Lead the development of AI-powered systems at Dropbox focusing on integrating large language models for search relevance, ranking, and automation. Responsibilities include architecting scalable ML systems, fine-tuning LLMs, and collaborating with cross-functional teams to innovate AI capabilities.

The Senior Machine Learning Engineer will develop and maintain advanced ML models and systems to enhance security, detect threats, and protect user trust. Responsibilities include designing ML algorithms for threat detection, collaborating with teams to integrate ML solutions, and analyzing complex datasets for proactive risk identification.

Develop and enhance ML and generative AI solutions to improve physical operations efficiency and safety, collaborating cross-functionally to lead projects from inception to execution.

Develop and deploy AI models for edge devices, optimize ML models for inference, collaborate with hardware teams, and troubleshoot deployments to enhance performance.

The Machine Learning Engineer at Clio will develop advanced machine learning models to enhance customer experience, create LLM-based solutions, and collaborate with cross-functional teams to identify new features using ML. The role requires experience with traditional ML and NLP, as well as data preprocessing skills.

The role involves shaping the technical vision for credit and underwriting platforms at Cash App, mentoring engineers, and ensuring system reliability and maintainability. The position requires hands-on coding and leadership in large-scale projects, while collaborating with various stakeholders to enhance engineering systems and improve product features.

As a Staff Machine Learning Engineer on the Risk team at Cash App, you will develop ML solutions to mitigate risk and fraud. This involves collaborating across departments to balance financial loss, regulatory compliance, and customer experience while utilizing extensive transaction data for analysis.

The Staff Machine Learning Engineer will lead projects in developing machine learning solutions for Square's Conversational AI team. Responsibilities include collaborating with stakeholders, building and optimizing ML features, and driving end-to-end machine learning projects while mentoring team members.

As a Senior Machine Learning Engineer on the Risk team, you will develop analytical and machine learning solutions for the Cash App, focusing on mitigating risk and fraud. You'll collaborate with various teams to balance financial losses, regulatory risks, and customer experience while leveraging large transaction data to improve products.

Design and maintain ML systems for real-time fraud detection, collaborating with modelers and engineers while solving complex challenges at scale.

As a Senior Machine Learning Engineer at Affirm, you'll develop and optimize machine learning models for credit opportunity management. You will collaborate with cross-functional teams to enhance portfolio decision-making, implement data pipelines, and scale algorithms while ensuring alignment with product requirements.

As a Machine Learning Engineer, you'll design scalable data pipelines, implement ML algorithms, and work in a collaborative team on ad optimization models.

As a Software Engineer I on the ML Platform team, you will develop and maintain backend systems that support machine learning models. Your work will involve collaboration with team members and stakeholders, focusing on high-quality code and system reliability, while also supporting personal and team growth. You should have experience in designing and launching backend systems at scale and using relevant technologies.