Top Machine Learning Jobs in Toronto

Seeking a highly skilled Senior Big Data Engineer with expertise in developing batch processing systems using the Apache Hadoop ecosystem and working on Machine Learning pipelines. Responsible for developing scalable code, managing batch pipelines, and leveraging GCP for big data processing. Requires strong communication skills and ability to solve complex problems independently.

Design and implement scalable systems for serving deep learning and reinforcement learning models. Optimize inference performance and develop production workflows. Collaborate with data scientists and software engineers to design and implement ML systems.

Conduct independent research, innovate on AI security boundaries, drive innovation in AI security research, engage with the community, analyze and interpret data, and deliver presentations to professional-level audiences.

Leading the ML team at Replicant, specializing in Conversational AI and LLMs, to create efficient and effective solutions for customer service automation.

Set up predictive models and productionalize MLOps pipelines for capital lending product, leverage data-driven insights to enhance business strategies, collaborate with cross-functional teams, conduct data analysis using statistical and machine learning techniques, develop predictive and prescriptive models, collaborate with business leaders, validate model performance, and monitor model performance.

Lead Product Engineer with strong core software engineering experience and experience in Machine Learning (ML) and ML Operations (MLOps) to spearhead engineering initiatives for a new product line. Responsibilities include overseeing ML platform development, guiding ML/MLOps innovation, leading software development efforts, building and mentoring a diverse engineering team, and collaborating across functions. Qualifications require 8+ years of technology experience, expertise in Enterprise Software architecture, ML algorithms, data modeling, and MLOps practices, leadership skills, collaborative abilities, and an advanced degree in Computer Science or related field.

Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.

Join Curai Health as a Machine Learning Engineer and contribute to the development and improvement of AI systems used in patient and physician-facing product features. This role requires experience in ML/NLP, including building production systems, as well as strong communication and collaboration skills.

Lead the design, development, and integration of innovative machine learning models in Firefox. Stay up-to-date with the latest advancements in machine learning and AI. Mentor and upskill the team on AI and generate thought leadership.

As a Staff Software Developer at CoLab, you will work on cutting-edge projects, develop best practices for software teams, mentor build team members, and design production infrastructure for ML models. Join a groundbreaking team that values innovation and fosters professional growth.

Curai is seeking a Machine Learning Researcher to advance the field of machine learning applied to primary healthcare, collaborate with cross-functional teams, mentor junior members, and contribute to research publications.

Develop and implement algorithms for Robotic Perception tailored for welding tasks, lead R&D initiatives in the welding domain, collaborate with teams to evaluate deep neural networks and machine learning systems, stay updated on Robotics, Computer Vision, and ML research.

Join Path Robotics as a Computer Vision/Machine Learning Engineer to develop robotic welding solutions using computer vision, deep learning, and Python programming. Collaborate on research initiatives, design experiments, and stay updated on the latest advancements in Robotics, Computer Vision, and ML research.

We are looking for a Rust Engineer to contribute to our groundbreaking Hiveon ASIC Firmware product, revolutionizing the world of ASICs with innovative and game-changing solutions of our firmware.

Creates visionary IT architecture roadmap and organizational strategy, leads design and implementation of technical solutions, provides strategic input, and acts as prime subject matter expert for stakeholders. Recommends system design enhancements, manages key architecture assets, and identifies risks in technology solutions. Provides architectural expertise to senior leaders and stays abreast of industry trends.

As a Software Engineer on our ML Product team, you will be responsible for defining and improving the workflow of our open-source machine learning tools. You will work closely with technical product managers and have hands-on experience in deep learning. Strong communication and software engineering skills are required.

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.