Senior/Staff Machine Learning Engineer at StackAdapt | Canada

StackAdapt stands at the forefront of technology, enabling marketers to precisely engage and convert audiences. With a staggering 465 billion automated optimizations occurring every second, our AI-driven StackAdapt Marketing Platform seamlessly integrates brand and performance marketing, delivering tangible results throughout the customer journey. The most innovative marketers select StackAdapt to orchestrate impactful campaigns across both programmatic advertising and diverse marketing channels.We are excited to welcome Senior and Staff Machine Learning Engineers to our Data Science team! This dynamic group tackles complex challenges within StackAdapt's digital advertising platform. You will collaborate closely with Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder to develop robust pipelines and ad optimization models. With databases capable of processing millions of requests per second, you'll find a wealth of data and intriguing problems to solve. Curious about our Data Science Team? Learn more: Data Science Team InsightsExplore our team culture here: Team CultureJoin us for our talk at Amazon Tech Talks: Watch Here StackAdapt embraces a Remote First approach, welcoming candidates from anywhere across Canada for this opportunity.

Join StackAdapt, the premier technology company revolutionizing marketing through precision audience engagement and conversion. With an astounding 465 billion automated optimizations each second, our AI-powered StackAdapt Marketing Platform bridges brand and performance marketing to achieve measurable outcomes throughout the entire customer journey. Innovative marketers trust StackAdapt to execute impactful campaigns across various programmatic advertising and marketing channels.We are on the lookout for a skilled Senior/Staff Applied Machine Learning Scientist to become a vital part of our engineering team as we enhance our data science initiatives. Our platform connects a multitude of publishers and advertisers globally, handling millions of requests every second and making billions of decisions. We leverage cutting-edge technologies to address challenges in traffic management, data storage, machine learning, and scalability.Explore our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/Discover our team culture: https://www.stackadapt.com/careers/data-scienceWatch our Amazon Tech Talks presentation: https://www.youtube.com/watch?v=lRqu-a4gPuU

StackAdapt stands at the forefront of technological innovation, equipping marketers with the tools to effectively reach, engage, and convert their target audiences. With an astounding 465 billion automated optimizations executed every second, our AI-driven StackAdapt Marketing Platform bridges the gap between brand-driven and performance marketing, ensuring measurable outcomes throughout the customer journey. Visionary marketers choose StackAdapt to execute impactful campaigns across diverse programmatic advertising and marketing channels.We invite you to join our talented Data Science team as a Machine Learning Engineer! In this role, you will tackle complex challenges associated with StackAdapt's cutting-edge digital advertising platform. Collaborating closely with our Data Scientists, fellow Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder, you will develop robust pipelines and sophisticated ad optimization models. With databases capable of processing millions of requests each second, you will find an abundance of data and intriguing problems to solve. As a remote-first organization, StackAdapt boasts teams distributed globally. We welcome candidates from across Canada and the United States to apply. This role will remain open until February 20, 2026. Applications will be evaluated on a rolling basis, and the position will be closed once the deadline is reached. To learn more about our Data Science Team, visit: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/Discover more about our team culture here: https://www.stackadapt.com/careers/data-scienceWatch our presentation at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU

Join StackAdapt, a pioneering technology firm dedicated to empowering marketers to effectively engage and convert audiences with unparalleled precision. With an astonishing 465 billion automated optimizations happening every second, our AI-driven StackAdapt Marketing Platform seamlessly bridges the gap between brand and performance marketing, facilitating measurable outcomes throughout the customer journey. Forward-thinking marketers trust StackAdapt to orchestrate high-impact campaigns across programmatic advertising and various marketing channels.As a Senior Quality Engineer specializing in Quality Infrastructure at StackAdapt, you will spearhead the design and implementation of pivotal testing infrastructure projects aimed at enhancing our engineering speed and product reliability. Collaborating closely with Quality Engineering, product engineering, and DevOps teams, you will create robust testing systems and frameworks that empower engineers to develop and deploy with assurance. Your partnership with team leads and architects will be crucial in delivering scalable testing solutions grounded in data-driven insights.Currently, our engineering teams depend on our Quality Engineering infrastructure to uphold quality at scale while enabling swift development cycles. We are transitioning from reactive testing to predictive quality engineering, and your contributions will be vital in constructing the systems that drive this transformation! Discover more about our engineering culture here: https://www.youtube.com/watch?v=LXM2NrkhKZc StackAdapt is a remote-first organization; we welcome candidates from anywhere in Canada for this role. Key Responsibilities:Design and implement intelligent test selection systems that enhance regression testing efficiency and diminish feedback cycles.Develop and uphold scalable test automation frameworks that bolster test reliability and decrease flake rates across our test suite.Collaborate with engineering teams to establish quality gates, streamline CI/CD pipelines, and minimize regression cycle durations.Contribute to initiatives across our Quality Engineering pillars: Prevent, Prove, Observe, and Scale.Create tools and dashboards for test analytics, offering insights into test coverage, reliability metrics, and performance trends.Tackle intricate testing challenges including test parallelization, isolation, and intelligent failure analysis.Share expertise and best practices with the team, promoting enhanced Quality Engineering infrastructure capabilities across the organization.

StackAdapt is a pioneering technology firm that empowers marketers to engage, connect, and convert their audiences with unparalleled precision. With an astounding 465 billion automated optimizations occurring every second, our AI-driven StackAdapt Marketing Platform seamlessly bridges brand and performance marketing, delivering measurable results throughout the customer journey. The most innovative marketers choose StackAdapt to execute high-impact campaigns across programmatic advertising and marketing channels.We are on the lookout for a skilled Applied Machine Learning Scientist to become part of our dynamic engineering team as we broaden our data science initiatives. Our platform interfaces with thousands of publishers and advertisers globally, managing millions of requests each second and making billions of critical decisions. We leverage state-of-the-art technologies to tackle challenges related to traffic management, data storage, machine learning applications, and scalability. Curious about our Data Science Team? Explore our insights here: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/Discover more about our team culture here: https://www.stackadapt.com/careers/data-science Don’t miss our presentation at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU StackAdapt is a Remote First company, welcoming candidates located anywhere in North America for this position. This role will remain open until February 20, 2026. We will review applications on a rolling basis, and the posting will close once the deadline is reached.

Role overview StackAdapt is hiring a Full Stack Engineer based in Canada. This role works closely with teams across the company to design, build, and support web applications. Both front-end and back-end skills are important here, as the team aims to deliver a smooth and reliable user experience.

StackAdapt is a premier technology firm that empowers marketers to effectively reach, engage, and convert their target audiences with precision. With an astonishing 465 billion automated optimizations occurring every second, our AI-driven StackAdapt Marketing Platform seamlessly integrates brand and performance marketing to deliver measurable results throughout the entire customer journey. Leading marketers select StackAdapt to orchestrate high-impact campaigns across diverse programmatic advertising and marketing channels.Engineering at StackAdapt: As a Senior Full Stack Software Engineer at StackAdapt, you will play a pivotal role in developing our advertising platform, writing production-level code that directly contributes to our product's success. You will handle large datasets and gain exposure to modern technology stacks including GoLang, Ruby on Rails, React, GraphQL, and more. Our engineering team fosters a collaborative and cross-functional work environment, offering you the chance to thrive in a diverse and flexible culture with clear career development paths to support your success. We are looking for a Full Stack Software Engineer to lead our expanding full-stack engineering team. The digital advertising landscape presents intriguing challenges as we continue to scale our platform to accommodate a rapidly growing customer base. Check out our presentation at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU StackAdapt embraces a Remote-First policy, welcoming candidates from anywhere in Canada for this role. What You'll Be DoingAdvising the team on pragmatic technical solutions that promote engineering excellence and developer satisfaction.Structuring coherent and iterative plans to deliver effective solutions aligned with team objectives.Strategically architecting scalable web APIs, component libraries, and backend systems to support the team’s roadmap goals.Collaborating with stakeholders from Data Science, Product & Design, and other senior engineering teams to drive projects forward.

Join StackAdapt, the premier technology company that empowers marketers to connect with their target audiences through precise engagement and conversion strategies. With an astonishing 465 billion automated optimizations occurring every second, our AI-driven StackAdapt Marketing Platform bridges brand and performance marketing, delivering measurable results at every stage of the customer journey. The most innovative marketers trust StackAdapt to orchestrate impactful campaigns across programmatic advertising and various marketing channels.We are in search of a skilled Senior Quality Engineer who is dedicated to software quality and test automation. You will be an integral member of our dynamic team, directly influencing the success of product releases within a collaborative agile environment. Your focus will be on developing reliable and scalable automation test cases, seamlessly integrating them into our CI/CD pipeline. These efforts are crucial for enhancing software quality, accelerating defect detection and prevention, and revolutionizing our software development processes. Discover more about our engineering culture here: https://www.youtube.com/watch?v=LXM2NrkhKZc StackAdapt operates as a remote-first company, welcoming candidates from anywhere in North America for this role. Key Responsibilities:Develop in-house automated and functional test scripts and tools that cover functional, system, API, integration, UI, and regression testing.Collaborate with Platform, Product, DevOps, and other teams to deploy and execute automated tests in CI/CD test environments.Deliver timely feedback on test results to the Platform Team, the QA team, and other relevant stakeholders.Engage in technical planning, code reviews, and architectural decision-making processes.Qualifications:Minimum of 4 years of hands-on experience in test automation, particularly with API and UI test automation frameworks like Playwright, Selenium, or similar.Strong understanding of testing methodologies and practices in a DevOps environment.Excellent problem-solving skills and an ability to work collaboratively in a fast-paced environment.Proficient in coding languages and scripting for automation.

About the Role torcrobotics is looking for a Staff Engineer in Machine Learning with a focus on BEV (Bird's Eye View). This remote position is open to candidates in Canada, including Montreal. The role centers on building machine learning solutions that advance autonomous vehicle technology. What You Will Do Design and implement algorithms for interpreting complex data from multiple sensors Collaborate with engineers and researchers to improve the performance and safety of autonomous systems Contribute expertise in BEV techniques to support seamless system operation

StackAdapt is a premier technology firm that empowers marketers to effectively connect, engage, and convert audiences with precision. With an astounding 465 billion automated optimizations executed each second, the AI-driven StackAdapt Marketing Platform expertly bridges the gap between brand and performance marketing to generate measurable outcomes throughout the entire customer journey. The most innovative marketers rely on StackAdapt to orchestrate impactful campaigns across programmatic advertising and various marketing channels.We are on the lookout for a skilled Lead Quality Engineer who is dedicated to software quality and test automation. Join our dynamic team where your contributions will significantly influence the success of product releases in a collaborative agile environment. Your primary responsibilities will include implementing dependable and scalable automation test cases and integrating them into our CI/CD pipeline. These efforts will enhance our software quality, speed up defect detection and prevention, and revolutionize our software development processes.Discover more about our engineering culture here: https://www.youtube.com/watch?v=LXM2NrkhKZcAs a remote-first company, we welcome candidates located anywhere across Canada for this position.

At StackAdapt, we are redefining the landscape of digital marketing by empowering marketers to effectively reach, engage, and convert their target audiences with precision. With an impressive 465 billion automated optimizations executed every second, our AI-driven StackAdapt Marketing Platform seamlessly integrates brand and performance marketing to drive measurable outcomes throughout the customer journey. Innovative marketers choose StackAdapt to execute high-impact campaigns across various programmatic advertising and marketing channels.Engineering at StackAdapt: In the role of Engineering Manager I, you will take an active role in advancing our advertising platform by crafting production-level code that significantly influences our product's success. You will work with extensive data sets while engaging with modern technology stacks including GoLang, Ruby on Rails, React, GraphQL, and more. Our engineering team embraces collaboration and cross-functional engagement, providing you with a rich opportunity to thrive in a diverse and flexible culture tailored for your career growth. We are looking for a skilled Engineering Manager I to guide our expanding full-stack engineering team. The digital advertising sector is filled with intriguing challenges as we continue to enhance our platform to meet the needs of a rapidly growing customer base. About the Team:The Reporting team is dedicated to developing insightful reporting tools, visualizations, and dashboards that offer marketers a clear view and understanding of their campaign performance. Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU StackAdapt operates as a Remote First company, welcoming candidates from anywhere in North America for this role.

Role overview The Senior Program Manager, Learning & Development at StackAdapt leads company-wide training programs from within Canada. This position shapes how employees learn and develop, helping to build a strong learning culture across the organization. What you will do Design and launch training initiatives for employees at all levels Collaborate with teams from various departments to identify areas where new skills or knowledge are needed Create and deliver programs that foster employee growth and development Evaluate training results to confirm that employees are applying what they have learned

Who We AreAt AuditBoard, we are a pioneering force in the audit, risk, ESG, and InfoSec landscape, having exceeded $300M in annual recurring revenue and consistently growing. Our innovative platform is trusted by over 50% of the Fortune 500, including 7 of the Fortune 10, who rely on our award-winning technology to advance their businesses with enhanced clarity and agility. Our commitment to excellence has earned us top ratings on G2.com and Gartner Peer Insights.We foster a culture of inspiration and innovation, dedicated to finding new ways to empower our customers and contribute positively to our communities. Our collaborative environment encourages breaking barriers to create the most beloved audit, risk, ESG, and InfoSec platform, which has propelled us to be recognized among the top 500 fastest-growing tech companies in North America for six consecutive years by Deloitte!Why This Role is ExcitingWe are looking for a passionate and skilled Senior Machine Learning Engineer to join our dynamic team and drive advancements in risk management. This role provides an exciting opportunity to work with state-of-the-art Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation. You will leverage your expertise to develop cutting-edge AI/ML solutions that enhance our AuditBoard product suite, incorporating features like chat systems, automated workflows, intelligent data extraction, and personalized insights. If you are enthusiastic about utilizing modern AI/ML techniques to revolutionize the industry, we invite you to be part of our customer-centric team dedicated to continuous learning and innovation.

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, and sustainability of these critical industries, which account for over 40% of global GDP, including sectors like agriculture, construction, field services, transportation, and manufacturing. We are thrilled to be driving the digital transformation of these industries at scale.Joining Samsara means you will play a pivotal role in defining the future of physical operations while collaborating with a dynamic team focused on developing innovative product solutions such as Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As a publicly traded company, we offer you the autonomy and support to make a lasting impact as we build for the long haul.About the role:The Samsara AI team is responsible for creating comprehensive AI solutions tailored to our customers' needs, alongside developing essential machine learning infrastructure for the company. In your role as a Staff Machine Learning Engineer, you will engage with massive datasets, including petabyte-scale sensor, diagnostic, video, and text data, to address significant challenges faced by our Physical Operations clients worldwide. You will collaborate closely with ML Engineers and Scientists, as well as full-stack and firmware engineers, to deliver vital product features, services, and optimizations.This position is fully remote and available to candidates residing in Canada. Note that travel may be required up to 5% of the time, and relocation assistance is not provided for this role.You should apply if:You seek to make a meaningful impact on essential industries: The software, firmware, and hardware you develop will have real-world implications—ensuring operational continuity, food supply, and the safety of workers.You are passionate about building for scale: With over 2.3 million IoT devices deployed globally, your work will influence a range of new and established technologies that drive innovation for clients across various sectors.You are committed to lifelong learning: Your enthusiasm for continuous improvement will align with our mission of advancing technology.

About Datatonic Datatonic stands as Google Cloud's top partner in AI, specializing in machine learning, data engineering, and analytics. The team helps clients across industries use advanced technology on Google Cloud Platform to modernize operations and uncover valuable insights. Role Overview The Senior Machine Learning Engineer position is a hands-on technical role based in Canada. This engineer writes production-quality Python code and prototypes solutions to complex problems. The role involves leading projects, collaborating closely with clients, and delivering reliable machine learning systems that address real business needs. What You Will Do Develop and maintain machine learning models using Python Apply strong engineering practices to both production systems and prototypes Lead project delivery and help scope new engagements Work directly with clients to understand challenges and deliver tailored solutions Build and maintain trusted client relationships What We Look For Solid foundation in machine learning and data science Experience selecting tools and methods for different ML applications Proficiency in optimizing and deploying ML models Strong communication and consulting skills Ability to deliver innovative AI and Cloud solutions for clients

Join Us in Shaping the Future of AI and Data!At Datatonic, recognized as a premier partner in AI for Google Cloud, we are at the forefront of technological transformation for leading global enterprises. Our expertise ranges from machine learning and data engineering to analytics, all within the Google Cloud Platform ecosystem. Collaborating with us enables our clients to future-proof their operations, harness actionable insights, and maintain a competitive edge in a fast-evolving landscape.Your MissionIn the role of a Senior Machine Learning Engineer, you will craft elegant, efficient code in Python and take pride in your engineering output. You will champion high-quality development practices for both production software and rapid prototypes.Although the position is predominantly hands-on, we are particularly interested in candidates ready to lead projects and engage actively in client discussions. Key responsibilities include establishing trusted relationships with clients, creatively applying machine learning to resolve challenges, defining project scopes, and managing the successful delivery of engagements.To excel in this role, you should possess robust ML and Data Science fundamentals, along with proficiency in selecting appropriate tools for diverse ML use cases. Comfort with model optimization and deployment practices is essential. Additionally, you should exhibit exceptional communication and consulting skills, with a commitment to addressing real business needs through innovative AI and Cloud solutions.

Affinity integrates billions of data points from extensive datasets to craft a precise and powerful depiction of the global professional relationship graph. Our users gain essential insights and visibility to cultivate and leverage opportunities within their teams' networks. The position is part of the AI Platform team, responsible for the AI services that drive Affinity's premier relationship intelligence platform. Our work involves extracting and retrieving information from vast amounts of structured and unstructured data to provide actionable insights to our clients. As a Senior Machine Learning Engineer, you'll collaborate closely with data engineers, software engineers, and product managers to shape the future of the leading CRM platform in private capital. Your role will involve designing and building AI systems that efficiently uncover insights from dynamic business interaction data—an exciting and unique opportunity within the sector. This position focuses on applied machine learning with a significant emphasis on engineering rather than research. You will be instrumental in enhancing our ML Engineering capabilities, specifically in information retrieval and ultimately in recommendation systems. Key Responsibilities: Own the full ML lifecycle: Guide projects from ideation to production, encompassing feature engineering, model selection, deployment, and model observability and evaluation. Translate business needs into ML solutions: Gather product requirements and convert them into robust ML system design specifications. Build recommendation and ranking systems: Architect and implement ranking and recommendation infrastructure from the ground up, initially leveraging integrated off-the-shelf models and evolving to tailored solutions over time. Solve complex problems: Tackle diverse challenges in information extraction, storage, and retrieval for both structured and unstructured data. Collaborate cross-functionally: Work alongside cross-functional teams (product, infrastructure, data engineering, and software engineering) to develop robust, high-scale systems that underpin our data processing and ML operations.

Join StackAdapt, a pioneering technology firm that empowers marketers to connect with, engage, and convert their audiences effectively. With an impressive 465 billion automated optimizations executed every second, our AI-driven StackAdapt Marketing Platform bridges the gap between brand and performance marketing, delivering measurable outcomes throughout the customer journey. The most innovative marketers turn to StackAdapt to orchestrate impactful campaigns across programmatic advertising and diverse marketing channels. Engineering at StackAdapt: As a Senior Full Stack Engineer at StackAdapt, you will play a pivotal role in enhancing our advertising platform by writing production-level code that directly influences our product's success. You will handle large datasets while working with cutting-edge technologies including GoLang, Ruby on Rails, React, GraphQL, and more. Our engineering team thrives on collaboration and cross-functional teamwork. Experience a diverse and flexible culture with well-defined career paths designed to help you flourish. About the Team:</strong>Our measurements team focuses on assessing the impact and effectiveness of advertising campaigns. Currently, our platform supports four measurement methodologies: 1PDA (1st Party Data Attribution), BLS (Brand Lift Study), ACR (Incremental Reach), and FTA (Football Attribution). Each methodology is crucial for evaluating specific performance metrics of advertising campaigns and provides actionable insights for optimizing results. StackAdapt operates as a Remote First company, welcoming candidates from anywhere in North America for this opportunity. Your ResponsibilitiesDesign, enhance, and troubleshoot complex, scalable distributed systems.Identify and implement solutions to optimize bottlenecks and enhance overall system performance.Stay proactive in updating the tech stack to meet current standards.Develop scalable and test-driven code, taking full ownership of projects from inception to completion.Collaborate with cross-functional teams to drive project success.

Join Samsara as a Staff Machine Learning Engineer, where you will leverage your expertise to develop innovative ML solutions that enhance operational efficiency across various industries. Collaborate with a talented team to push the boundaries of technology, while contributing to impactful projects that shape the future of IoT.

Who We AreSamsara (NYSE: IOT) leads the way in the Connected Operations™ Cloud, a platform designed to empower businesses reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational improvements. At Samsara, we strive to enhance safety, efficiency, and sustainability across industries that are vital to our global economy, such as agriculture, construction, field services, transportation, and manufacturing. Our mission is to digitally transform these sectors at scale.Joining Samsara means playing a key role in defining the future of physical operations and collaborating on a diverse range of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As a recently public company, you will have the freedom and support to make a significant impact as we build for the future.About the Role:We are in search of a Senior Machine Learning Engineer to spearhead the evolution of our safety systems architecture. You will drive the transition of our ML stack from isolated, end-to-end models to a cohesive Perception Platform Layer. Your objective is to develop a robust infrastructure that converts raw sensor data into immediate, high-stakes decisions, guaranteeing the reliable performance of our models in both cloud and edge environments.This position is fully remote for candidates located in Canada.You Should Apply If:You want to make a meaningful impact on essential industries: The software, firmware, and hardware you develop will lead to tangible outcomes—ensuring essential services are maintained, food reaches grocery stores, and, most importantly, that workers return home safely.You aspire to build for scalability: With over 2.3 million IoT devices deployed to our global clientele, you will engage with a variety of new and established technologies, fostering innovative solutions that propel the physical operations of the world's industries.You are a lifelong learner: Our ambitious goals require a growth mindset, as we navigate a broad spectrum of technologies, challenges, and customer needs.