Remote Applied Machine Learning Scientist at StackAdapt

Ada creates AI-powered tools that help enterprise organizations automate customer service conversations. The company’s platform aims to deliver personalized, efficient support at scale, resolving a significant portion of customer inquiries through automation and allowing teams to focus on higher-value work. Since 2016, Ada has supported over 5.5 billion interactions for well-known brands, with backing from major investors. The team values progress, ongoing growth, and the development of its people. Role overview This Senior Machine Learning Scientist position is fully remote and open to candidates based in Canada. The role centers on improving the quality and reliability of Ada’s AI Agent platform, which powers automated customer support. Collaboration is central: work closely with Product Managers, Engineers, and Designers to identify key challenges, design experiments, and use data to drive better experiences for both customers and end users. What you will do Write efficient, reusable code for evaluating and analyzing Ada’s AI features Partner with engineers to implement technical improvements Spot challenges and design experiments to test potential solutions Apply data-driven decision making to enhance user and customer outcomes Build a deep understanding of Ada’s product and the needs of its customers What success looks like Show strong empathy for users and customers when solving problems Collaborate effectively with cross-functional teams Deliver reliable, maintainable code for evaluation and analysis Drive meaningful improvements in AI-powered support results Who thrives here People who are ambitious, eager to learn, and motivated to improve themselves and the organization tend to succeed at Ada. A genuine interest in shaping the future of AI-driven customer support is important for this role.

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.

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of contact centers. Our innovative platform fuses advanced AI with human insight, enabling contact centers to uncover customer insights, streamline processes, and enhance team productivity. Founded by the renowned Sebastian Thrun, a pioneer from the Stanford AI lab and visionary behind Google X, Waymo, and Udacity, our leadership team also includes CEO Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI.Join us on an exhilarating journey to redefine the future of work with AI technology. The revolution begins at Cresta.

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

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.

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.

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.

Dropbox is looking for a Senior Machine Learning Engineer to help develop AI-driven features for its products. This position is fully remote and open to candidates based in select locations across Canada. Key responsibilities Design and implement advanced machine learning models for Dropbox’s product suite. Collaborate with colleagues from engineering, product, and design to integrate AI capabilities into real user workflows. Apply machine learning techniques to enhance product functionality and improve the user experience. Team collaboration This role works closely with cross-functional teams to ensure that AI solutions fit seamlessly into Dropbox’s offerings. Frequent communication with product, engineering, and design partners is central to how this work gets done.

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.

About UsEli Health is at the forefront of continuous hormone monitoring, empowering users to enhance their daily and long-term health. Forget the long waits to track essential biomarkers—now you can receive actionable results in just minutes. Our flagship product, the Hormometer™, is the pioneering instant hormone monitoring platform that delivers results from saliva directly to your mobile app—anytime, anywhere.After six years of dedicated R&D, over 2,000 product iterations, and supported by numerous patent-pending innovations, Eli’s award-winning platform transforms hormones into quantifiable signals that users can track and improve. Just as thermometers and glucometers have revolutionized health management for millions, Eli’s platform is set to lead the next major advancement in monitoring changes in stress, endurance, sleep, and more.About the RoleWe are seeking a skilled Machine Learning Scientist to take the lead on enhancing our model training and deployment pipeline utilizing Data Version Control (DVC) and Google Cloud Platform (GCP) with our Python data science SDK. This position is not solely research-focused; you will play a critical role in ensuring that models train reproducibly, deploy securely, perform effectively in production, and evolve as new data and insights become available.You will work with real-world biological data, where noise, variability, and fluctuating conditions are common. In addition to managing the pipeline, you will actively engage in ongoing analyses, including calibrations, pilot studies, error analyses, and model performance evaluations, translating findings into tangible improvements.This role bridges the gap between machine learning and software engineering. You will contribute to enhancing the standards, tools, and monitoring practices necessary to ensure Eli's models are robust, traceable, and operationally reliable. Collaborating closely with technical and domain experts, you will drive improvements in model quality, proactively identify issues, and build a solid foundation for rapid, safe iterations.About YouYour commitment to technical excellence and delivering high-quality products is unwavering. You possess the judgment and ownership to exceed expectations when it truly matters.Bachelor's degree in Engineering, Computer Science, Data Science, Mathematics, or a related discipline.Minimum of 5 years of experience in building, deploying, and maintaining machine learning systems in production environments.Adept at taking full ownership and responsibility for projects.

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

Senior Staff Data Scientist (Generative AI, Machine Learning): Are you excited about the potential of Generative AI? Do you aspire to make a global impact while addressing challenges in the realm of Artificial Intelligence? Do you envision yourself creating revolutionary products that will redefine the future of AI-driven network management? If so, we invite you to join us at Extreme Networks and take your career to the next level.This is a unique opportunity to influence the development of next-generation networking solutions within the realms of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will play a pivotal role in defining the user experience, shaping product vision, and crafting the technical roadmap, ultimately driving innovation from inception to execution.Now is an exceptional time to join Extreme. Our recent acquisitions have expanded our portfolio and market strategy, leading to unprecedented global growth. We are recognized as a Technology Leader in the Gartner Magic Quadrant and have been honored with multiple Best Employer awards. At Extreme, we are dedicated to fostering a culture of diversity, inclusion, and equality, where every employee thrives because of their unique differences.Our AI Core group is at the forefront of developing platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations not only enhance our flagship products but also pave the way for entirely new offerings. Together, we are driving a significant transformation in how businesses manage their networks by creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.At Extreme, innovation is not just encouraged; it is an expectation. Join us and help to shape the future of network intelligence.

Role overview Affirm, Inc. is seeking a Senior Machine Learning Engineer specializing in fraud detection. This remote position, open to candidates across Canada, focuses on developing and deploying machine learning models to identify and prevent fraudulent activity on Affirm’s platform. The goal is to deliver strong security measures while maintaining a seamless experience for users. What you will do Design and implement machine learning algorithms to spot and block fraudulent behavior Deploy models into production environments to enable real-time decision-making Work closely with security and engineering teams to enhance fraud detection capabilities Help protect users while minimizing disruption to their experience

About SandboxAQAt SandboxAQ, we are a pioneering force in the realm of artificial intelligence, dedicated to solving some of the most pressing challenges faced globally. Our advanced Large Quantitative Models (LQMs) are instrumental in driving innovations in various sectors, including life sciences, financial services, navigation, and cybersecurity.Founded in 2022 as an independent entity emerging from Alphabet Inc., we are backed by prominent investors and a network of industry experts. Our team, composed of specialists in AI, chemistry, cybersecurity, physics, mathematics, medicine, and engineering, thrives in a vibrant culture that promotes creativity, collaboration, and impactful work.Join us in our mission to build a dynamic global workforce as we tackle the world's grand challenges. Here, your career can flourish alongside a community that values entrepreneurial spirit, ownership, and transformative contributions.Position OverviewAs a Senior Machine Learning Research Scientist specializing in Co-Folding and Affinity, you will play a pivotal role in enhancing our machine learning capabilities within the biopharmaceutical domain. Your primary objective will be to push the boundaries of structure prediction and binding affinity, integrating these advancements into our software solutions. In your first year, you will: lead the development of innovative deep learning architectures that exceed current performance benchmarks, facilitate the integration of these models into operational drug discovery frameworks, and elevate SandboxAQ’s reputation through influential publications and groundbreaking research.

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.

Are you an innovative Senior AI Engineer looking to make a significant impact? Join Procurify, a forward-thinking company dedicated to revolutionizing the way businesses manage their procurement processes. We are seeking a talented individual to lead AI initiatives that enhance our platform's capabilities.In this role, you will leverage your expertise in artificial intelligence and machine learning to develop cutting-edge solutions that drive efficiency and effectiveness in procurement. Collaborating with cross-functional teams, you will be instrumental in designing algorithms and models that optimize decision-making and improve user experiences.

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.

About UsCoalition stands as the world's pioneering Active Insurance provider, dedicated to averting digital risks before they arise. Established in 2017, we blend extensive insurance coverage with cutting-edge cybersecurity tools, empowering businesses to navigate and reduce potential cyber threats.At Coalition, opportunities to make significant impacts through innovative thinking are abundant and realized daily.About the RoleWe are on the lookout for an Applied Scientist II to enhance and refine the machine learning and Generative AI models that underpin our underwriting processes. You will take charge of high-stakes modeling challenges from inception to completion, which includes framing problems, data exploration, model design, evaluation, deployment, and monitoring, thereby directly influencing our assessment and pricing of cyber risk.Collaborating closely with underwriters, product managers, and engineers, you will design resilient pipelines, experiment with state-of-the-art ML/GenAI techniques, and deploy models that significantly impact business metrics. Your contributions will transform intricate insurance and security signals into dependable decision-making systems, enabling Coalition to operate effectively on a larger scale while advancing the field of AI in underwriting.

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.