Staff Machine Learning Engineer at Samsara | Remote - Canada

Who we areSamsara (NYSE: IOT) is at the forefront of the Connected Operations™ Cloud, a revolutionary platform designed to empower organizations reliant on physical operations. By leveraging Internet of Things (IoT) data, we help businesses derive actionable insights and enhance their operational efficiencies. Our mission is to improve the safety, efficiency…

About UsOptro is at the forefront of innovation, having achieved over $300 million in annual recurring revenue and maintaining rapid growth. As the premier platform for audit, risk management, ESG, and InfoSec, we empower more than half of the Fortune 500, including seven of the Fortune 10, to navigate their businesses with enhanced clarity and agility. Our customers consistently rate us highly on G2.com and Gartner Peer Insights, reaffirming our commitment to excellence.Our culture thrives on collaboration and creativity, inspiring our team to develop solutions that benefit both our clients and our communities. We are dedicated to breaking barriers and delivering the most trusted audit, risk, ESG, and InfoSec platform, which has earned us a spot as one of Deloitte's 500 fastest-growing tech companies in North America for seven consecutive years!Position OverviewWe are excited to invite a talented and enthusiastic Senior Machine Learning Engineer to enhance our innovative risk management solutions. This role involves working with state-of-the-art Large Language Models (LLMs) and employing advanced techniques such as Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation. You will be instrumental in developing cutting-edge AI/ML features that enrich our AuditBoard product suite, including interactive chat interfaces, intelligent workflows, and personalized analytics. If you are passionate about applying modern AI methodologies to revolutionize the industry, we want to hear from you. Join our customer-centric team, committed to ongoing learning and innovation.Key ResponsibilitiesLead the end-to-end development, deployment, and ownership of product features.Collaborate with designers and product managers to create high-impact features.Utilize a wide range of methodologies—from traditional machine learning to LLM-focused strategies—with an emphasis on reliability, performance, and maintainability.Produce clean, maintainable, and testable code.Create clear and concise design documentation.Diagnose, troubleshoot, and rectify software bugs.Maintain a product-oriented mindset, prioritizing customer needs.Stay abreast of industry trends and advancements in AI/ML.

About Torc RoboticsAt Torc, we firmly believe that autonomous vehicle technology will revolutionize the way we travel, transport goods, and conduct business.As a pioneer in autonomous driving since 2007, Torc has spent over a decade delivering solutions alongside seasoned partners. We are now part of the Daimler family, allowing us to focus solely on developing software for automated trucks. We are poised to change the way the world moves goods.Join our team and propel your career forward with a company that has played a pivotal role in creating autonomous driving technology (AD). We are the first AD software company to have the vision to partner directly with a truck manufacturer.

About Torc RoboticsAt Torc Robotics, we are at the forefront of revolutionizing autonomous vehicle technology, fundamentally changing the way we travel, transport goods, and conduct business. As a pioneering leader in the autonomous driving sector since 2007, we have spent over a decade collaborating with experienced partners to bring our innovative solutions to market. Now part of the esteemed Daimler family, we are dedicated exclusively to developing cutting-edge software for automated trucks, reshaping the future of freight movement. Join us to elevate your career with a company that has not only pioneered autonomous technology but also uniquely partnered with truck manufacturers to advance the field.Meet the Team:The Pseudo-Labeling team is committed to generating high-quality annotations on sensor data, including images and point clouds. Our annotations encompass 2D and 3D bounding boxes, classifications, trajectories, lane markings, segmentations, and depth information. These annotations serve various downstream users, supporting both perception teams in model training and simulation teams in data generation.

Join Mistplay, the leading loyalty app for mobile gamers, as a Senior Machine Learning Platform / Infrastructure Engineer II. At Mistplay, our vibrant community of millions of mobile gamers engages with our platform to discover new games and earn valuable rewards. Players are compensated for their time and investment in gaming, redeeming these rewards for gift cards. Our mission is to enhance the mobile gaming experience for everyone, everywhere! Download Mistplay on the Google Play Store here and connect with us on Instagram, Twitter and Facebook.Important Note: In Canada , Mistplay operates under a hybrid model, requiring 2 days per week in-office presence in Toronto (400 University Ave) & Montreal (1001 Blvd. Robert-Bourassa).

About the Company At Torc Robotics, we firmly believe that autonomous vehicle technology will revolutionize the way we travel, transport goods, and conduct business. As a pioneer in autonomous driving since 2007, Torc has spent over a decade commercializing solutions alongside seasoned partners. We are now part of the Daimler family, allowing us to focus solely on developing software for automated trucks. We are set to transform the logistics landscape.Join our team: Propel your career forward with the company that helped create autonomous driving technology (AD). We are the first AD software company to have the vision to partner directly with a truck manufacturer.

About the Company At Torc, we firmly believe that autonomous vehicle technology will revolutionize how we travel, transport goods, and conduct business. As a leader in autonomous driving since 2007, Torc has dedicated over a decade to commercializing solutions alongside experienced partners. We are now part of the Daimler family, allowing us to focus solely on developing software for automated trucks, thereby transforming the way goods are transported worldwide. Join our team and propel your career forward with an industry pioneer!

About Torc RoboticsAt Torc, we are dedicated to revolutionizing transportation through advanced autonomous vehicle technology. As a pioneer in the field since 2007, we have partnered with experienced collaborators to bring our innovative solutions to market. Now part of the Daimler family, we focus on developing cutting-edge software for automated trucks, aiming to redefine freight movement globally.Join us in advancing your career at the forefront of autonomous technology with a company recognized for its vision and commitment to innovation.Meet the Team:As a Senior Machine Learning Engineer specializing in Road & Lane Detection, you will spearhead the development of models that empower Torc's autonomous vehicles to accurately perceive and interpret road geometry, lane structures, and drivable surfaces. Your work will be pivotal in enhancing the precision and reliability of our systems.You will define state-of-the-art deep learning architectures and data-driven methodologies to extract high-fidelity road and lane semantics from multi-modal sensor data, driving significant improvements in perception accuracy, stability, and scalability.This role emphasizes technical leadership focused on model innovation and evolution, steering clear of downstream feature integration.

Role overview c-serv is seeking a Senior Machine Learning Engineer with expertise in Artificial Intelligence, Machine Learning, and Big Data. This position is fully remote and open to candidates residing in Canada. The role centers on applying technical depth to projects that shape the direction of technology within the company. What you will do Use advanced algorithms and data-driven methods to solve practical challenges on real-world projects. Collaborate with a skilled team to build and refine AI solutions. Offer technical insight that helps guide the development and improvement of key projects. Collaboration Work alongside professionals who value practical innovation and measurable outcomes. The team emphasizes open communication and collective problem-solving to achieve strong results.

About Torc RoboticsAt Torc Robotics, we are at the forefront of revolutionizing transportation with our autonomous vehicle technology. Since our inception in 2007, we have partnered with leading organizations to commercialize our solutions. Now a proud member of the Daimler family, we focus on developing cutting-edge software for automated trucks, aiming to transform freight movement globally.Join us at Torc Robotics and elevate your career with a pioneering company in autonomous technology, recognized as the first AV software firm to collaborate directly with truck manufacturers.Meet The Team:Our dedicated team empowers machine learning developers across Torc to create advanced autonomous vehicle solutions on a large scale. We oversee the entire ML experimentation lifecycle, from concept creation to model validation and performance comparison, ultimately converting the most effective models into operational truck formats. As we leverage AWS along with Lightning and Ray for distributed ML tasks, we seek a talented Senior ML Engineer to help shape the future of autonomous freight.

***English version below***Travel transcends destinations; it is woven from the memories created along the way. At Plusgrade, we are committed to redefining the future of travel by partnering with over 250 airlines, hotels, cruise lines, rail networks, and financial services to create meaningful new revenue streams through exceptional customer experiences. Grounded in our core values of ambition, innovation, and collaboration, we are continuously driven to push boundaries, exceed expectations, and harness the best of everyone. We cultivate a culture that believes our strength lies in our unity, working together to build an extraordinary future in the travel industry. Join us in transforming everyday journeys into truly remarkable experiences.ABOUT THE POSITIONAs a Machine Learning Engineer within the ML Applications team, you will be responsible for designing, developing, and deploying innovative machine learning platform solutions to tackle complex business challenges. This role requires a strong software development background, a keen interest in cutting-edge technologies, excellent problem-solving skills, and the ability to work both independently and collaboratively in a fast-paced environment.This position reports to the Director of ML Applications.YOUR RESPONSIBILITIES:• Collaborate within a small team passionate about scaling the use of ML applications across the organization.• Productionize, scale, and commercialize state-of-the-art machine learning solutions.• Design and develop scalable and robust ML pipelines to enable predictive data usage by downstream applications, enhancing key performance indicators (KPIs) such as member engagement and revenue.• Create and implement robust processes for monitoring production ML pipelines.• Support production systems to deliver batch and real-time model predictions to all applications.• Actively participate in solution design and modeling to ensure ML products are developed according to best practices, standards, and ML architecture principles.• Work closely with our product, engineering, and marketing teams to develop data and ML solutions that address critical business questions.

About this OpportunityJoin a global leader in networking that is transforming how businesses manage their networks. Our AI Core group is at the forefront, developing pioneering platforms across various domains such as Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning large language models. Here, innovation is not just welcomed; it is a core expectation.The RoleAs a pivotal AI ML Engineer, you will take on a leadership role in shaping our machine learning strategy. You'll be responsible for creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.Key ResponsibilitiesDefine and lead the technical vision for machine learning solutions across our product portfolio.Manage the complete software development lifecycle, overseeing everything from design and code reviews to deployment and operational management.Architect robust, scalable microservices, including both synchronous and asynchronous web services.Develop real-time inference pipelines for complex models leveraging tools like Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a strong team culture.Promote engineering excellence, system resilience, and continuous improvement in operations.

About FaireFaire is a revolutionary online wholesale marketplace founded on the principle that the future belongs to local. Independent retailers across the globe generate more revenue than giants like Walmart and Amazon combined. However, they often struggle against these massive entities. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs worldwide. Think of your favorite local boutique; we empower them to discover exceptional products from around the globe to showcase in their stores. With the right insights and tools, we aim to level the playing field, enabling small businesses to compete effectively with larger e-commerce platforms.By fostering the growth of independent businesses, Faire is creating a positive economic ripple effect in local communities globally. We are in search of intelligent, resourceful, and passionate individuals to join us and champion the shop local movement. If you resonate with our commitment to community, we invite you to be part of ours.About this RoleAt Faire, we utilize cutting-edge machine learning and data insights to transform the wholesale sector, empowering local retailers to take on competitors like Amazon and big box stores. Our Data Science team is pivotal in designing and maintaining a diverse array of algorithms and models that drive our marketplace. We are focused on developing machine learning models that enable our customers to thrive.As a vital member of the Brand Data Science team dedicated to Listing Quality, your primary responsibility will be to enhance the quality of product listings, ensuring retailers can efficiently find and evaluate products on Faire. You will employ ML and AI to address significant challenges, including improving image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. Utilizing deep learning, multi-modal LLMs, and human-in-the-loop training, you will create high-performance solutions. This is a rapidly evolving space, and you will be at the forefront of applying the latest technology to drive meaningful real-world impact. You will independently design and implement solutions while collaborating with the cross-functional Listing Quality pod, which includes product, design, engineering, analytics, and operations teams, to resolve challenges comprehensively.

Join Huawei Canada as a Machine Learning Engineer in a permanent role!About Our Team:At the Human-Machine Interaction Lab, we harness global talent to innovate the synergy between humans and technology. Our focus on user-centered design drives us to improve human-computer interaction through cutting-edge research. Our diverse team of researchers, engineers, and designers collaborates to create groundbreaking interactive systems, sensing technologies, IoT solutions, and computer vision applications. Our mission is to elevate user experiences with impactful products and innovative research.The Role:Design and implement machine learning models for solar and wind energy forecasting, aiding both real-time operations and strategic energy planning.Develop data-driven solutions for digital twin platforms of renewable energy plants, including real-time generation simulations, weather-driven scenario analyses, and performance diagnostics.Engage with various data sources, such as SCADA systems, historical generation data, meteorological data, satellite imagery, and spatial metadata.Collaborate with interdisciplinary engineering and research teams to deliver robust, production-ready solutions.Annual compensation for this role ranges from $106,000 to $156,000, based on qualifications and experience.

At Plusgrade, we believe travel is about the journey, not just the destination. Our mission is to redefine the future of travel by partnering with over 250 leading companies in the airline, hospitality, cruise, passenger rail, and financial services sectors. We focus on creating significant revenue opportunities through exceptional customer experiences. Emphasizing our core values of ambition, innovation, and collaboration, we are committed to exceeding expectations and fostering a culture of excellence. Join us as we turn ordinary travel into extraordinary experiences.ROLE OVERVIEW:As a Backend Developer specializing in Machine Learning within our ML Applications team, you will play a pivotal role in designing, developing, and deploying advanced machine learning solutions to tackle complex business challenges. This position demands a robust background in software development, a keen interest in innovative technologies, outstanding problem-solving abilities, and the capacity to thrive both independently and as part of a dynamic team.This position reports directly to the Director of ML Applications.KEY RESPONSIBILITIES:• Collaborate in a dedicated team focused on enabling machine learning applications across the organization.• Develop, scale, and operationalize state-of-the-art machine learning solutions.• Create scalable and resilient ML pipelines for predictive analytics, enhancing key performance indicators such as member engagement and revenue.• Implement robust monitoring processes for production ML pipelines.• Support production systems to deliver batch and real-time streaming model predictions.• Engage actively in solution design and modeling, ensuring adherence to best practices and ML architectural principles.• Partner closely with Product, Engineering, and Marketing teams to develop data-driven ML solutions addressing critical business questions.• Deploy models, assess their performance, and continuously refine them.• Oversee model retraining, drift monitoring, pipeline automation, quality control, and governance of production models.• Collaborate with the Operations team to ensure effective production support.CANDIDATE PROFILE:• Minimum of 4 years of experience in ML pipelines and ML-focused Python development.• Strong understanding of software engineering principles and practices.• Proficient in RESTful APIs.• Experienced in building ML and LLM-based recommendation systems.• Proven track record in designing and developing backend components optimized for low-latency and high-performance applications.

About the CompanyAt Torc Robotics, we believe that autonomous vehicle technology will revolutionize how we travel, transport goods, and conduct business. As a leader in autonomous driving since 2007, Torc has spent over a decade bringing innovative solutions to market in collaboration with seasoned partners. We are now part of the Daimler family, allowing us to focus exclusively on developing software for automated trucks. We aim to transform the global goods transport landscape.Join our team and propel your career within a company that has been at the forefront of autonomous driving technology. We are the first software company in this field to partner directly with a truck manufacturer.Meet the Team:Torc is advancing its AV 3.0 strategy, with Data Loop and Simulation components being critical for autonomous trucking. Our team is working on sensor simulations based on neural rendering and generative models for Torc's data-driven simulator. High-quality data from original scenarios fills the data gaps in the domain, enhancing our solutions.

Role Overview Affirm’s Machine Learning Fraud team builds systems that help protect consumers and merchants from fraud while supporting a smooth buying experience. The team’s work directly impacts transaction decisions, balancing fraud loss, customer satisfaction, and conversion rates. Affirm’s mission is to make credit more transparent and approachable, offering flexible payment options without hidden fees or compounding interest. What You Will Do Design and improve machine learning systems that make real-time decisions on transactions. Collaborate with experienced ML engineers, platform partners, and teams across the company. Take models from initial concept through prototyping and into production. Monitor and update models to adapt to new fraud patterns as they emerge. Location This is a remote role based in Canada.

toloka-ai seeks a Freelance Machine Learning Developer for a contract position on its remote team. This role centers on building and improving AI systems for ongoing projects. Key responsibilities Collaborate with a distributed team to develop and enhance machine learning models Apply technical skills to projects that explore new AI methods Support the company’s machine learning work through hands-on development Location This position is fully remote and available to candidates residing in Manitoba, Canada.

About League League Inc. is a healthcare consumer experience platform founded in 2014. The company’s AI-driven technology reaches more than 63 million people worldwide. League partners with payers, providers, and consumer health organizations to deliver engaging healthcare solutions that improve outcomes. With over $285 million in venture funding, League supports leading brands such as Highmark Health, Manulife, Medibank, and Shoppers Drug Mart. Role Overview League is hiring a Senior Machine Learning Engineer specializing in small language models (SLMs) to join the remote AI Models team in Canada. This role centers on research and engineering, with a strong emphasis on experimentation, model development, and building applied AI systems. The work will directly influence League’s healthcare platform by advancing domain-specific language models. What You Will Do Translate recent research into practical implementations for League’s platform Experiment rapidly with model architectures and optimization strategies Use modern AI tools and frameworks to speed up development cycles Collaborate with AI leadership to investigate, prototype, and operationalize new approaches to language models Partner with platform and product teams to move high-impact innovations into production Model Development & Experimentation Design and run experiments focused on fine-tuning, distillation, and optimization of small language models (1–10B parameters) Prototype and evaluate new methods to improve model performance, efficiency, and reasoning quality Apply modern tools and AI-assisted workflows to accelerate iteration Applied AI & Systems Integration Build applied systems that connect models, data pipelines, and evaluation frameworks Location This position is remote and open to candidates based in Canada.

We are seeking dedicated Machine Learning Engineers with a passion for developing innovative systems utilizing large language models (LLMs) and real-world data. In this dynamic role, you will collaborate with clients and team members to design, prototype, and implement scalable machine learning solutions that drive results.Join our high-performing, collaborative team that prioritizes clear communication, practical execution, and continual learning. If you excel in fast-paced environments, enjoy solving complex problems, and are committed to the quality and impact of your work, we would love to hear from you.