Senior Software Engineer II - Machine Learning

Narvar is expanding and seeking a talented Senior Software Engineer II to innovate and enhance our platform. At Narvar, data is integral to our success, enabling you to make a significant impact on our organization, partners, and end users. As a Machine Learning Engineer at Narvar, you will engage in full-stack development, crafting production-level code and…

About UsWe are a rapidly growing technology company specializing in agile development. At the heart of everything we do are our people; this is what truly matters to us. We genuinely care about our clients and their environments, as well as the big dreams, aspirations, and professional growth of every member of our team.We firmly believe in the strength of unity, which is why we are constantly seeking new ways to build connections with everyone around us.We value diversity in all its forms: backgrounds, personalities, career paths, languages... absolutely everything. For us, this subject represents an opportunity for concrete innovations as well as learning and exchange. We want everyone to feel welcomed and at home in everything we do.Fun is also part of our mission. Every day, we wake up motivated to make the world a more efficient and enjoyable place.Role Overview As an Applied AI Scientist, you will design, build, and deploy AI solutions that address real business challenges for our clients. You combine strong software engineering instincts with practical expertise in AI/ML, and you know how to transition from exploration to reliable deployment. You will closely collaborate with both technical and non-technical teammates, coach others, and contribute to sound technical decisions in large-scale AI projects.

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.

Join Mistplay as a Staff Machine Learning Engineer, leading the development of cutting-edge AI solutions in the mobile gaming sector. Mistplay is recognized as the foremost loyalty application for mobile gamers, empowering millions to explore new games while earning rewards for their time and investment. Our mission is to enhance the mobile gaming experience for users globally. Download Mistplay on the Google Play Store here and connect with us on Instagram, Twitter, and Facebook. Please Note: In Canada , Mistplay follows a hybrid model of 2 days per week in-office at our locations in Toronto (400 University Ave) and Montreal (1001 Blvd. Robert-Bourassa).

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.

About the Role Movable Ink is hiring a Senior Platform Engineer with a focus on Machine Learning for its Toronto office. This role centers on building and improving machine learning features within our marketing technology platform. What You Will Do Work closely with colleagues from different teams to design and implement machine learning solutions that strengthen the platform. Develop and maintain systems that help clients deliver personalized experiences to their audiences at scale. Apply engineering expertise to create reliable, maintainable, and scalable ML infrastructure. Location This position is based in Toronto at Movable Ink.

At MaintainX, we are revolutionizing asset and task management in industrial and frontline environments with the world's leading mobile platform. Our modern, IoT and cloud-based solutions enhance maintenance, safety, and operational efficiency for physical equipment and facilities. We empower over 12,000 organizations, including renowned names like Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, to achieve operational excellence and reliability at scale. Following our $150 million Series D funding led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, we have raised a total of $254 million, valuing MaintainX at $2.5 billion. As we embark on our next phase of growth, we are heavily investing in AI/ML, LLM, and industrial IoT to transform frontline team operations by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and procedure. The Role We are seeking a highly qualified and motivated Senior Machine Learning Engineer to drive the technical direction and architecture of our predictive maintenance and asset intelligence initiatives. You will combine deep expertise in machine learning with strong software engineering and leadership skills. You will mentor engineers, develop systems, and lead the roadmap for AI-driven maintenance intelligence across thousands of industrial sites. This position sits at the intersection of machine learning architecture, IoT data systems, and product impact, forming the cornerstone of MaintainX's predictive and generative AI strategy. Key Responsibilities: Lead the technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across all MaintainX products. Design end-to-end ML systems, from data ingestion and feature engineering to model training, deployment, and monitoring. Mentor a growing team of ML and data engineers, instilling best practices in experimentation, evaluation, and model lifecycle management. Collaborate with product and engineering leaders to align our efforts with the company's overarching goals.

MaintainX is the world's leading mobile platform dedicated to asset and task management in industrial and frontline environments. We offer a modern, cloud-based IoT solution that streamlines the maintenance, safety, and operation of physical equipment and facilities. Empowering over 12,000 organizations including Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, we help them achieve operational excellence and reliability at scale. Following our Series D funding round of $150 million led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion. As we enter our next growth phase, we are heavily investing in AI/ML, LLMs, and industrial IoT to transform how frontline teams operate by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and process.

Join Parallel Domain, where we are revolutionizing the field of autonomy, robotics, and computer vision with our cutting-edge simulation and digital twin technology. Our Replica product is at the forefront of creating expansive, photorealistic digital twins of real-world environments, essential for testing, validating, and developing autonomous systems. If you are passionate about machine learning and eager to contribute to the future of technology, we invite you to apply!

Join Afresh Technologies as a Senior Software Engineer and play a critical role in enhancing our Machine Learning Platform. This is an exciting opportunity to work on cutting-edge technology in a fully remote environment. You will collaborate with data scientists and engineers to build scalable machine learning solutions that drive innovation and improve efficiency in food supply chains.

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.

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

Join our cutting-edge team at Afresh Technologies as a Staff Software Engineer specializing in Machine Learning Platforms. In this fully remote position, you will play a pivotal role in designing, building, and optimizing our ML infrastructure to support innovative solutions that redefine the food supply chain. Your expertise will help us harness the power of machine learning to drive efficiency and sustainability in food distribution.

Datatonic partners with organizations to help them manage and transform their data using Google Cloud. The team specializes in machine learning, data engineering, and analytics, supporting clients as they adapt to evolving business needs and seek actionable insights. Role overview The Lead Machine Learning Engineer - Team Lead will provide both technical leadership and people management for a group of engineers working on machine learning and data science projects. This role involves shaping project direction, mentoring team members, and supporting their development. The position is well suited to someone who enjoys change and wants to influence both team and company outcomes. Team leadership Guide the machine learning team with strategic and technical direction, ensuring practices align with industry standards. Recruit and onboard data scientists and machine learning engineers to build team capabilities. Mentor team members to support their technical growth and career progression. Foster a culture of inclusion, innovation, and open knowledge sharing. Conduct performance reviews, set objectives, and provide constructive feedback for continuous improvement. Project delivery Oversee complex machine learning projects from planning through deployment, focusing on quality and timely delivery within budget. Work with Delivery Managers to define project scope, set timelines, allocate resources, and monitor milestones. Location This position is based in Canada.

Join RAVL, a leading boutique technology advisory and engineering firm dedicated to transforming the financial services sector. Our mission is to empower clients by maximizing their technology investments and delivering measurable ROI. We are expanding our engineering team and seeking talented Machine Learning Platform Engineers to architect and implement scalable ML solutions for our diverse clientele. Your expertise will be vital in developing cloud-native ML infrastructures, enhancing MLOps capabilities, and facilitating comprehensive model lifecycle management in enterprise settings. This position addresses immediate project demands and anticipates future hiring needs, with an emphasis on constructing robust, production-ready ML systems at scale.

Discover More About Our TeamWe are on the lookout for a talented Machine Learning Engineer to join our Customer Value Forecasting team within the Customer Value Optimization department at HelloFresh. In this role, you will play a pivotal part in developing innovative machine learning products that enhance our value forecasting capabilities. You will tackle advanced forecasting challenges, leveraging AI technologies to produce solutions that directly influence business performance. Your expertise will be critical in designing and constructing scalable, robust, and efficient machine learning systems that can manage vast datasets and complex models.Your ResponsibilitiesWork collaboratively with data scientists and engineers in a cross-functional team to enhance HelloFresh’s value forecasting efficiency.Engage with product managers and business stakeholders to gather requirements and translate them into actionable machine learning products and analyses.Rapidly develop proof-of-concept machine learning models and iterate on them to transition into production-ready solutions with mentorship from senior team members.Assess the performance of machine learning models and provide insights for enhancements.Keep abreast of the latest developments in machine learning and artificial intelligence, proposing and implementing improvements to streamline the machine learning development lifecycle and increase team efficiency.Perform other duties as assigned.Why You’ll Be a Great FitA strong enthusiasm for addressing complex business challenges through machine learning in a dynamic environment. Prior experience in machine learning applications for marketing is advantageous.Proficient programming skills in Python and SQL; experience with PySpark is a bonus.Hands-on experience in designing and maintaining large-scale machine learning systems for production, including model monitoring and drift detection.Quickly adapt to new technologies and modeling methodologies while effectively solving real-world business challenges.A keen interest in utilizing modern data science tools such as cloud development, version control, CI/CD, model registries, and feature stores.Strong communication skills to convey complex technical concepts to both technical and non-technical audiences.What We OfferBox Discount - Generous discounts on one box per week! Enjoy a 75% discount on weekly HelloFresh boxes.

At Stay22, we are transforming the way users convert online. Our AI-powered affiliate platform assists publishers, ticketing platforms, and content creators in generating new revenue streams while enhancing their audience's experience.Join us at Stay22, where our partners not only earn more but also provide a superior experience. Be part of a company that is fundamentally reshaping the affiliate landscape.Job SummaryYou will join the Neuro Squad, a specialized team dedicated to centralizing ML and AI innovation at Stay22. Neuro provides the technical foundations that power our core engines, including Roam (our machine learning-based redirect engine) and Spark (our AI-driven affiliate logic engine).As a Senior ML/DL Developer within the Neuro Squad, your responsibilities will include designing and architecting the intelligence behind these products. This role encompasses the entire lifecycle of our ML platforms—from training pipeline design to real-time inference API optimization.You will work with cutting-edge technologies (including LLMs) and collaborate closely with the Data team and Forge Squad to ensure our AI solutions are scalable, secure, and production-ready.

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.

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.

About Affirm Affirm is working to reshape the credit industry by making payments more transparent and consumer-friendly. The company’s mission centers on helping people buy now and pay later, without hidden fees or compounding interest. Team Overview: Machine Learning Feature Platform The Machine Learning (ML) Feature Platform is a core part of Affirm’s ML Platform group. This team partners closely with the ML Training & Serving Platform to build a unified ecosystem for machine learning and data that supports key business goals. Role Focus The ML Feature Platform team builds and maintains a self-service platform that streamlines the development and deployment of data features used in machine learning and decision-making at Affirm. The platform is central to Affirm’s ML and online decisioning, and its reliability and speed are critical for meeting availability and latency standards. Key Responsibilities Design, build, and support tools for feature creation, exploration, and deployment Manage data storage, access, and visibility to ensure data is available and discoverable Develop and maintain infrastructure for offline backfilling and ongoing platform improvements Work on this team shapes the daily experience of Machine Learning Engineers, analysts, and decision-making groups across Affirm. Platform enhancements can drive broad improvements throughout the organization. Who We’re Looking For Affirm is searching for engineers who are motivated to advance machine learning capabilities and recognize how platform work can deliver wide-reaching positive effects. Curiosity about data platforms and a drive to make ML easier and more effective for others are valued on this team. Location This role is fully remote within Canada.