Top Machine Learning Jobs in Toronto

Join Lime as a Staff Machine Learning Engineer to work on demand forecasting and positioning algorithms for electric bikes and scooters. Collaborate cross-functionally and contribute to a multi-year ML strategy using state-of-the-art technologies. Coach engineers and data scientists to drive technical growth and product success.

Join our AI team and contribute to our ML-augmented applications to provide high-quality care. Focus on text-based service and NLP. Develop and improve AI systems, design evaluations, mentor team members, and interview talent.

The AI Research Engineer will be responsible for designing and building large-scale data pipelines for language models. They will also optimize and enhance the training and inference infrastructure, as well as improve model performance and accuracy.

Collaborate in a multidisciplinary team to improve machine learning systems related to self-driving technology. Design data pipelines, streamline workflows, evaluate model performance, and champion engineering excellence. Requires a minimum of 4 years of industry experience in computer science or engineering.

Leading a team of engineers in the design, development, and deployment of cutting-edge data and machine learning solutions. Mentoring and developing team members, fostering a high-performance culture. Responsible for successful delivery of business objectives and contributing to the company's mission.

As a Senior Data Engineer (Reasoning ML) at a company specializing in autonomous vehicles, you will be responsible for creating and curating datasets for training and evaluating ML planner components. You will build effective data analysis tools, work on ML model development, and actively participate in operational support for the team. Responsibilities also include developing data pipelines, implementing metrics, leveraging the Oxa Metadriver™ platform, and contributing to hiring and onboarding new team members.

Develop and maintain the ASIC Hub application, ensuring seamless communication with devices within the local network. Implement robust TCP/UDP communication protocols to facilitate efficient data exchange. Design and write system monitoring solutions tailored to the unique requirements of the mining industry. Collaborate closely with a team of Go Engineers, sharing knowledge and expertise to drive the project forward. Engage in data-driven development, managing and optimizing the flow of large datasets.

Apply statistical and machine learning techniques to process and analyze unstructured textual data, develop and finetune machine learning models, optimize models for production usage, monitor and refine deployed models, work closely with interdisciplinary teams, stay current with NLP research, operate with a high degree of autonomy.