Top Machine Learning Jobs in Toronto
Develop and train machine learning algorithms for Real-Time Bidding buyers, optimize inventories, design experiments to test strategies, perform statistical analysis, collaborate with engineering teams, and foster an engineering excellence culture.
Machine Learning Engineer role within Cash App's Risk ML team focusing on identity verification, fraud mitigation, and financial product optimization using AI solutions.
Lead the Machine Learning Engineering group, implement machine learning algorithms, collaborate with data engineers and data scientists, and improve existing Machine Learning models at Kraft Heinz in Toronto.
Senior Machine Learning Engineer role at Cash App's Personalization Machine Learning team. Responsible for building distributed services, pipelines, and tools for ML including recommendation systems and ranking systems. Collaborate with cross-functional teams to drive machine learning applications and work on impactful projects. Lead and mentor fellow engineers to contribute to the growth of development capabilities.
As a Senior Machine Learning Engineer on the Identity team, you will utilize machine learning methods to reduce inauthentic identities within Cash's ecosystem. Responsibilities include developing risk-based experiences and building ML solutions for enhancing customer access to financial services. Collaboration with Data Scientists and Software Engineers is key to driving ML innovation.
Senior Machine Learning Modeler working on financial crimes detection using Machine Learning and Generative AI technologies at Cash App.
The Senior Machine Learning Engineer will work on detecting and reporting illegal and suspicious activity on Cash App using Machine Learning and Generative AI technologies. Responsibilities include building and enhancing batch and real-time inference services, unblocking access to infrastructure/tools for ML development, partnering with ML modelers, and influencing team culture.
As a Machine Learning Engineer focused on search quality at Dropbox, develop and enhance search capabilities to provide users with the best search experience. Collaborate with cross-functional teams to drive large-scale machine learning systems and impact millions of users. Design, code, train, test, deploy, and iterate on machine learning systems. Communicate technical trade-offs, explore feature quality, and integrate latest ML advancements into products.
Featured Jobs
As a Senior Machine Learning Engineer at Cash App, you will be responsible for building the Cashbot customer support chatbot, developing high-quality support experiences using ML, and collaborating with the product, design, and engineering teams to deploy ML models. You should have 5+ years of experience in applied Machine Learning or Deep Learning and a graduate degree in a related technical field.
As a Machine Learning Engineer at Movable Ink, you will work on a large-scale machine-learning system, contribute to core recommender systems, and deploy machine learning models. Your responsibilities include generating insights, creating machine-learning features, and building models. Qualifications include a Master's degree or 2+ years of relevant experience, proficiency in Python, familiarity with ML stacks, and ability to collaborate with technical partners.
Senior Machine Learning Engineer specializing in Conversational AI to automate and optimize Square product features. Lead projects across various product areas, collaborate with stakeholders, drive end-to-end ML projects, and contribute to the next generation of intelligent products at Square.
Join as a Senior Full Stack Engineer in the AI team to develop machine learning pipelines and deploy models for product lines. Collaborate with machine learning engineers, data scientists, and product managers, adhere to best practices in software development, and stay updated with the latest tools and technologies in machine learning engineering.
The Software Engineer will work on the ML Platform team to build self-service tooling for feature engineering and collaborate with data science and engineering teams to develop scalable and sustainable software solutions. Responsibilities include designing tools, leading architectural discussions, mentoring teammates, and participating in oncall rotations.
Seeking a Senior Software Engineer with experience in software engineering and machine learning to join the Machine Learning Foundations team. Responsibilities include building self-service tooling for feature engineering and collaborating with internal teams. Requires strong technical judgment and experience with large-scale distributed systems built around ML.
Looking for a talented Staff ML Engineer to build ML platforms and data pipelines for large-scale data repositories. Responsibilities include designing and building ML architecture, managing the ML platform, developing data pipeline architecture, and writing scalable software. Qualifications include 8+ years of Java development experience, 4+ years in AI, ML, and Data Science, and knowledge of Python, Scala, TensorFlow, and more.
As a Senior Machine Learning Engineer focused on search quality at Dropbox, you will design, code, train, test, deploy, and iterate on large-scale machine learning systems. You will collaborate with cross-functional teams to enhance search capabilities and impact millions of users.
Develop scalable AI platform, improve internal productivity, collaborate across teams, lead AI innovation, drive alignment with AI strategy
Design, build, and manage distributed services and pipelines for Underwriting & Credit at Afterpay & Cash App. Lead multi-person projects, ensure high code quality, collaborate cross-functionally, solve technical problems at scale, and contribute to development capabilities through mentoring.
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.
Looking for a talented and innovative Applied Scientist to bring Machine Learning and Artificial Intelligence R&D to the next level at Qualtrics. Responsible for developing cutting-edge predictive models, optimizing algorithms, and leveraging AI principles to solve customer problems.
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.
Seeking a skilled Robot Manipulation Engineer to join the AI - Manipulation team at Path Robotics. Responsibilities include designing and implementing advanced manipulation algorithms, developing motion control systems, conducting simulations and real-world testing, and staying updated with the latest advancements in robotics. Candidates must have a Master's degree or Ph.D. in a related field, experience with machine learning techniques, strong programming skills in C++ or Python, and a proven track record in the robotics field.
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.
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