Applied AI Scientist

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 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.

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

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.

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.

About UsAt Osedea, we are a dynamic and innovative technology development company where people are at the heart of our mission. We genuinely care about our clients and the community around us, alongside fostering the personal and professional growth of our team members. We believe in the strength of community and actively seek to create meaningful connections with everyone we encounter. Diversity is celebrated in all its forms—whether it’s backgrounds, personalities, career paths, or languages. Our culture encourages innovation, learning, and storytelling that makes everyone feel welcome and included.We believe in enjoying our work and strive each day to create a more efficient and enjoyable world.Role Overview As an Applied AI Scientist at Osedea, you will be responsible for designing, developing, and deploying AI solutions that effectively address our clients' real-world challenges. You will leverage strong software engineering principles alongside hands-on expertise in AI and machine learning. Comfort in transitioning from exploratory phases to production environments is essential. You will collaborate with both technical and non-technical team members, mentor peers, and facilitate sound technical decision-making as we create enterprise-level AI solutions.

About Dialpad Dialpad offers an AI-native business communications platform that brings together calling, messaging, meetings, and contact center features in one solution. The platform’s AI understands conversations as they happen, helping teams communicate more efficiently. More than 70,000 companies worldwide use Dialpad, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply. These organizations rely on Dialpad to build stronger customer relationships through actionable insights powered by AI. Dialpad has taken a lead in Agentic AI, developing intelligent agents that not only analyze conversations but also take actions to automate workflows, answer customer questions, and speed up revenue processes in real time. The DAART initiative (Dialpad Agentic AI in Real Time) continues to advance communication technology. Learn more at dialpad.com. Applied Scientist Role in Vancouver, Canada The Applied Scientist will join Dialpad’s AI team in Vancouver, contributing to research and development efforts that influence the direction of the platform.

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.

Join StackAdapt as a Full Stack Engineer, where you will be at the forefront of innovative technology solutions. As a vital member of our development team, you will be responsible for designing, developing, and deploying high-quality applications that enhance user experiences.Your role will involve collaborating with cross-functional teams to define, design, and ship new features, while also maintaining and improving existing applications. This is an excellent opportunity for individuals passionate about technology and eager to make a significant impact.

At StackAdapt, we are revolutionizing the marketing landscape by empowering marketers to connect with their audiences effectively. With an astounding 465 billion automated optimizations per second, our AI-driven StackAdapt Marketing Platform intricately weaves brand and performance marketing together, ensuring measurable success throughout the customer journey. Join the ranks of the most innovative marketers who rely on StackAdapt to craft high-impact campaigns across diverse programmatic advertising and marketing channels.We are on the lookout for a talented Software Engineer to join our dynamic backend engineering team. You will play a pivotal role in an ambitious new data engineering initiative aimed at tackling complex big data challenges, utilizing cutting-edge technologies that are at the heart of StackAdapt’s infrastructure. We are seeking candidates with a proven background in software engineering to help us build this initiative from the ground up! Our real-time advertising bidding system manages over 3,000,000 requests per second and processes several terabytes of data daily. Our tech stack includes Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL, and more. We embrace innovation and are open to experimenting with new technologies.Check out our Amazon Tech Talks presentation: https://www.youtube.com/watch?v=lRqu-a4gPuUStackAdapt operates on a Remote First model, welcoming candidates located anywhere in North America for this position.Your Responsibilities:Collaborate with a team of engineers to develop first-party and third-party data integrations with external data sources.Design and build scalable, low-latency backend systems and robust big data pipelines.Provide technical leadership in the design of scalable solutions and advocate for best practices.Enhance team productivity and contribute to growth initiatives.Champion software development best practices and conduct thorough code reviews.Identify and resolve technical challenges with precision.Write performance-efficient, memory-optimized code capable of scaling with our data intake.

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.

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.

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.

Role overview The Sales Enablement Advisor at StackAdapt supports sales teams throughout Canada. This role is part of the Global Client Services group and is dedicated to helping sales professionals reach their potential. What you will do Design and deliver training programs to keep sales teams engaged and informed. Develop sales materials that clearly communicate value and assist in client discussions. Review sales performance data, spot trends, and suggest ways to improve results. Collaborate with colleagues to ensure resources align with the team’s changing needs.

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.

At StackAdapt, we are revolutionizing the way marketers connect with their audiences. As a frontrunner in technology, we empower marketers to reach, engage, and convert their target demographics with unparalleled precision. Our AI-driven StackAdapt Marketing Platform boasts an impressive 465 billion automated optimizations per second, seamlessly integrating brand and performance marketing to deliver measurable results throughout the customer journey. The most innovative marketers trust StackAdapt to orchestrate impactful campaigns across various programmatic advertising and marketing channels.About the Team:We are excited to invite a Senior Software Engineer to join our Data Ingestion Team, responsible for constructing and managing the vital infrastructure that functions as the “front door” of StackAdapt’s event flow. Our team tackles large-scale distributed systems with a strong focus on scalability, performance, reliability, and data integrity, processing over 10 billion events each day. Our systems are fundamental to key operations such as bidding, reporting, billing, analytics, and machine learning.We design and implement low-latency, highly reliable ingestion systems for impressions, clicks, conversions, and third-party signals, ensuring data accuracy and availability for downstream teams in real-time. Our technology stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more.If you find joy in solving complex challenges within distributed systems at scale, this team presents significant technical challenges and the chance to make a real impact.At StackAdapt, we embrace a Remote First culture, welcoming candidates from anywhere in Canada or the United States to apply for this position.

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 RoleSprout Social is seeking a passionate and innovative Applied AI/ML Scientist to join our dynamic AI Business Unit.Why You Should Join Our TeamAt Sprout Social, we empower businesses around the globe to leverage the vast potential of social media in today’s digital-first landscape. Our platform processes over one billion social messages daily, offering essential insights and actionable information to over 30,000 brands. We play a crucial role in shaping strategic decisions that fuel business growth and foster genuine connections with customers. Our comprehensive suite of social media management solutions includes robust publishing and engagement tools, customer care services, influencer marketing strategies, connected workflows, and advanced business intelligence. We are actively integrating AI into our products and utilizing it internally to accelerate our growth trajectory.Your ResponsibilitiesDesign, develop, and implement customer-focused features that utilize data science, machine learning (ML), and generative AI technologies.Deliver measurable impacts on Sprout Social’s priority AI initiatives, positively influencing our customers and driving essential business results.Create robust frameworks for assessing and measuring AI features to enhance efficiency, quality, and demonstrate the ROI of product enhancements.Collaborate closely with product management, design, and engineering teams to rapidly deliver high-quality AI solutions.Communicate effectively about AI capabilities and limitations, aligning technical possibilities with customer needs and product vision.

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.