Senior Machine Learning Engineer at Cresta | Remote in Canada

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.

Cresta is redefining the dynamics of customer interactions by transforming every conversation into a strategic advantage for contact centers. Our innovative platform merges cutting-edge AI with human expertise to reveal customer insights, streamline process automation, and empower team members to enhance efficiency and performance. Founded by esteemed AI visionary Sebastian Thrun, a pioneer behind Google X, Waymo, and Udacity, our leadership also boasts Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI. We have curated a premier team of AI and ML specialists, market leaders, and renowned investors such as Andreessen Horowitz, Greylock Partners, and Sequoia Capital. Our esteemed clientele includes industry giants like Intuit, Cox Communications, Hilton, and Carmax, and we've been recognized by Forbes and Bain Consulting as one of the leading private AI companies globally. Join us as we embark on a revolutionary journey to reshape the future of work with AI. The next era of work begins at Cresta.About the Role:The Platform Frontend team is dedicated to developing and maintaining a robust platform that underpins all frontend initiatives. This team oversees critical areas such as architecture, design patterns, frameworks, libraries, UI components, development environments, tools, and deployment processes. They are responsible for ensuring optimal performance, security, and adherence to best practices while organizing the frontend landscape into product-driven components.

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of the contact center. Our innovative platform merges advanced AI with human insight to empower contact centers to unveil customer insights, optimize behavioral practices, automate conversations, and streamline inefficient processes, enabling every team member to enhance their productivity. Founded by alumni of the esteemed Stanford AI Lab, Cresta's co-founder and chairman is Sebastian Thrun, a visionary behind Google X, Waymo, and Udacity. Our leadership team also features CEO Ping Wu, co-founder of Google Contact Center AI and Vertex AI platform, along with Tim Shi, an early member of OpenAI. We invite you to join us on this exciting journey to reshape the workforce with AI. The future of work is unfolding at Cresta.About the Role:As part of the AI Agent team at Cresta, you will be tasked with developing cutting-edge AI Agents designed to address real-world challenges for our clients. We focus on leveraging the latest advancements in Large Language Models (LLMs) and AI Agent systems, ensuring our solutions are efficient, secure, and dependable. This position requires hands-on involvement in groundbreaking projects, appealing to innovative and passionate machine learning engineers who can translate research into practical, scalable applications.Your role as a Machine Learning Engineer will involve transitioning AI Agents from research to tangible applications. Responsibilities include developing and deploying proprietary LLMs, scaling AI solutions, and tackling crucial issues such as evaluation and reliability. While our emphasis is on real-world applications, you will engage with some of the most sophisticated technologies in the GenAI domain.

Cresta is dedicated to transforming customer interactions into a strategic edge by harnessing the full potential of contact centers. Our innovative platform merges advanced AI capabilities with human intelligence, enabling contact centers to uncover valuable customer insights, streamline conversations, automate inefficient processes, and empower team members to enhance productivity. Founded by visionary leaders from the esteemed Stanford AI lab, including Sebastian Thrun, known for his groundbreaking work with Google X and Waymo, Cresta's leadership also features Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI.Embark on an exhilarating journey with us to redefine the workplace through AI. The future of work is unfolding at Cresta.About the Role:The Knowledge Assist (KA) team at Cresta is at the forefront of developing AI solutions tailored for the contact center industry, with a primary focus on enhancing agent productivity by ensuring access to the right knowledge at the right moment.Current projects include:Generative Knowledge Assist (GenKA): Provides real-time, context-aware suggestions for contact center agents, integrating multiple knowledge bases to facilitate quick information retrieval and ensure accurate responses.Knowledge Search (KS): A custom search experience designed specifically for contact center agents, built on the GenKA infrastructure, with aspirations to evolve into a comprehensive enterprise search solution.Retrieval-Augmented Generation (RAG): A pivotal initiative supporting GenKA and KS, focusing on efficient retrieval of relevant knowledge and generating ready-to-use responses based on this knowledge.Our internships are set in a dynamic, fast-paced environment where collaboration with top researchers and engineers is encouraged. Interns will have the opportunity to contribute to significant AI research and implement innovative techniques at scale.This internship offers a rare chance to influence the future of AI at Cresta by tackling complex challenges and introducing groundbreaking AI advancements into real-world applications.

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.

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.

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.

Cresta is dedicated to transforming customer interactions into a strategic advantage by harnessing the full capabilities of contact centers. Our innovative platform integrates advanced AI with human insight to uncover valuable customer insights, refine operational efficiencies, automate dialogues, and empower team members to enhance productivity. Co-founded by Sebastian Thrun, a visionary from Stanford AI Lab and a pioneer behind initiatives like Google X and Waymo, our leadership team also includes Ping Wu, CEO and co-founder of Google Contact Center AI, and Tim Shi, an early contributor at OpenAI.Embark on an exciting journey with us to redefine the future of work through AI at Cresta.

Cresta is dedicated to transforming every customer interaction into a strategic advantage by unlocking the full potential of contact centers. Our cutting-edge platform merges the finest aspects of artificial intelligence and human expertise to enable contact centers to uncover valuable customer insights and implement best practices, automate conversations and redundant processes, and empower each team member to operate more efficiently. Emerging from the esteemed Stanford AI lab, our co-founder and chairman, Sebastian Thrun, is the visionary behind Google X, Waymo, Udacity, and more. Our leadership team also includes CEO Ping Wu, co-founder of Google Contact Center AI and Vertex AI platform, and Tim Shi, an early member of OpenAI.We have built a world-class team composed of AI and ML specialists, market leaders, and top investors, including Andreessen Horowitz, Greylock Partners, and Sequoia, alongside former AT&T CEO John Donovan. Our esteemed clientele features brands such as Intuit, Cox Communications, Hilton, and Carmax, and we’ve been acknowledged by Forbes and Bain Consulting as one of the premier private AI companies globally.Join us on this exhilarating journey to transform the workforce through AI. The future of work starts here, at Cresta.

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of contact centers. Our innovative platform merges cutting-edge AI with human expertise to provide contact centers with invaluable customer insights, optimize processes, automate conversations, and empower team members to excel in their roles. Founded by the visionary Sebastian Thrun, renowned for his work with Google X and Waymo, and supported by an exceptional leadership team including CEO Ping Wu and co-founder Tim Shi, we are on the forefront of AI advancements.Join us on this exciting journey to redefine the future of work through AI at Cresta.About the Role:The AI Agent team at Cresta is developing enterprise-grade AI Agents designed to function effectively within real-world contact center settings. A vital aspect of this mission is to ensure that our AI Agents can integrate seamlessly with various CCaaS platforms (Contact Center as a Service), facilitating smooth transitions between AI and human agents as required.This role focuses on building robust backend systems that empower our AI Agents to:Integrate extensively with leading CCaaS platformsEngage in live customer conversations across voice and chatMaintain a complete conversation state and contextExecute real-time actions within the CCaaS ecosystemEffortlessly transition conversations to human agents without losing context, history, or workflow stateAssist human agents with AI support post-transferWe seek talented backend engineers eager to work at the intersection of distributed systems, real-time communication, enterprise integrations, and AI orchestration.This is not merely a research position; it is focused on constructing production-grade infrastructure that ensures AI Agents operate reliably within mission-critical customer environments.Why This Role Is Unique:AI + Real-Time Systems: Contribute to infrastructure that enables AI Agents to participate in live conversations on a large scale.Enterprise-Grade Integrations: Design robust connections with major CCaaS platforms and customer systems.

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

Cresta is on a transformative mission to elevate every customer interaction into a strategic advantage, harnessing the full potential of the contact center. Our innovative platform merges cutting-edge AI with human insights, enabling contact centers to unveil customer insights, streamline conversations and processes, and empower team members to operate efficiently and effectively. Founded by visionary leader Sebastian Thrun, a pioneer behind Google X and Waymo, our leadership team also includes Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI. We have curated a stellar team of AI and ML experts, strategic market leaders, and top-tier investors, including Andreessen Horowitz, Greylock Partners, and Sequoia. Our esteemed clientele features renowned brands such as Intuit, Cox Communications, Hilton, and Carmax, and we've received accolades from Forbes and Bain Consulting as one of the premier private AI companies globally. Join us on this exciting journey to revolutionize the workforce with AI. The future of work is unfolding at Cresta.About the role:The Platform Frontend team is dedicated to developing and maintaining a robust platform that serves all frontend development needs. This team is responsible for key aspects including architecture, design patterns, frameworks, libraries, UI components, development environments, tools, and deployment processes. As a key member of the Platform Frontend team, your focus will be on building desktop screen capturing, auditing, and analytics gathering features...

Cresta is dedicated to transforming customer conversations into a competitive edge by harnessing the full potential of the contact center. Our innovative platform merges cutting-edge AI with human intelligence, enabling contact centers to uncover valuable customer insights, optimize communication processes, and empower team members to work with greater efficiency. Founded by Sebastian Thrun, a pioneer from the esteemed Stanford AI lab and the visionary behind Google X, Waymo, and Udacity, Cresta's leadership team also includes CEO Ping Wu, co-founder of Google Contact Center AI and Vertex AI platform, and Tim Shi, an early member of OpenAI.Join us on this exciting journey to reshape the workforce using the power of AI. The future of work is here, and it starts at Cresta.

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 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.

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.