Top Machine Learning Jobs in Vancouver
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.
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.
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.
The Senior Machine Learning Engineer will develop, deploy, and optimize NLP and other AI/ML models, collaborate with a team of engineers, ensure robust deployment of models using cloud-based platforms, mentor junior team members, and establish machine learning engineering best practices.
Lead the design, development, and integration of Generative AI solutions in Firefox, collaborate with cross-functional teams, build infrastructure for training and inference of models, implement testing procedures, monitor and optimize deployed models.
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.
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.
Featured Jobs
Leading the ML team at Replicant, specializing in Conversational AI and LLMs, to create efficient and effective solutions for customer service automation.
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.
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.
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.
Top Vancouver Companies Hiring Machine Learning Roles
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