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Senior Machine Learning Engineer - Asset Intelligence

MaintainX

Full-time|On-site|Montreal, Toronto, Vancouver

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,…

Nov 15, 2025

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Senior Machine Learning Engineer - Predictive Maintenance

MaintainX

Full-time|On-site|Montreal, Toronto, Vancouver

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.

Nov 15, 2025

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Machine Learning Data Engineer - Replica Pipelines

Parallel Domain

Full-time|On-site|Vancouver, British Columbia, Canada

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!

Jan 12, 2026

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Senior Software Engineer for Machine Learning Platform

Afresh Technologies, Inc.

Full-time|Remote|Remote - Ontario, Canada

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.

Mar 27, 2026

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Senior Machine Learning Engineer at Dropbox | Remote

Dropbox, Inc.

Full-time|Remote|Remote - Canada: Select locations

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.

Apr 22, 2026

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Senior Machine Learning Engineer - Fraud Detection

Affirm, Inc.

Full-time|Remote|Remote Canada

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

Apr 21, 2026

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Staff Software Engineer, Machine Learning Platform

Afresh Technologies, Inc.

Full-time|Remote|Remote - Ontario, Canada

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.

Mar 27, 2026

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Lead Machine Learning Engineer - Team Lead

Datatonic

Full-time|On-site|Canada

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.

Apr 21, 2026

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Principal Machine Learning Platform Engineer

RAVL

Full-time|On-site|Toronto

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.

Apr 19, 2026

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Machine Learning Engineer for Growth at HelloFresh

HelloFresh

Full-time|CA$125K/yr - CA$155K/yr|On-site|Toronto, Ontario, Canada

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.

Mar 12, 2026

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Senior Machine Learning / Deep Learning Developer

Stay22

Full-time|On-site|Montreal HQ

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.

Feb 27, 2026

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Senior Machine Learning Engineer at AuditBoard | Canada

AuditBoard

Full-time|On-site|Canada

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.

Jan 14, 2026

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Software Engineer II - Machine Learning Feature Platform

Affirm, Inc.

Full-time|CA$125K/yr - CA$175K/yr|Remote|Remote Canada

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.

Apr 17, 2026

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Senior / Staff Platform Engineer - Machine Learning & Data

Mistplay

Full-time|Hybrid|Montreal

Join Mistplay, the leading loyalty application for mobile gamers, as we redefine the gaming experience! Our platform connects millions of enthusiastic mobile players, allowing them to discover exciting new games while earning rewards for their time and investment. Players can redeem these rewards for gift cards, making gaming more rewarding than ever. Our mission is to provide the ultimate mobile gaming experience for everyone, everywhere!We are currently seeking a Senior / Staff Platform Engineer, ML & Data to join our dynamic team. In this role, you will report to the Vice President of Data and Machine Learning Platform, playing a crucial role in developing and enhancing our data architecture and machine learning capabilities.

Apr 8, 2026

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Machine Learning Engineer for Predictive Maintenance

MaintainX

Full-time|On-site|Montreal, Toronto, Vancouver

Join MaintainX, the premier mobile-first Asset and Work Intelligence platform tailored for industrial and frontline settings. Our cutting-edge, IoT-driven, cloud-based solution optimizes maintenance, safety, and operational efficiency for physical assets and facilities. We empower over 12,000 organizations, including industry leaders like Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell, to achieve unparalleled operational excellence and reliability. Following a successful $150 million Series D funding round led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, positioning the company with a valuation of $2.5 billion. As we embark on our next growth phase, we are heavily investing in AI/ML, LLMs, and Industrial IoT to revolutionize frontline operations—anticipating failures before they occur, automating workflows, and integrating intelligence into every asset and process. Key Responsibilities: Design and train machine learning models for fault detection and classification using time-series sensor data, including vibration, temperature, pressure, and flow. Conduct exploratory data analysis (EDA) on various data types to extract insights and identify fault patterns. Experiment with and assess different algorithms, including time-series modeling, signal processing, and statistical methods, to enhance model performance. Work alongside domain experts to validate results and ensure practical application alignment. Document processes, experiments, and methodologies for reproducibility and knowledge sharing within the team. Participate in on-call duties as required.

Nov 15, 2025

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Machine Learning Scientist

Eli Health

Full-time|Remote|Montreal (remote)

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.

Feb 27, 2026

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Senior Machine Learning Engineer I, AI Governance

AuditBoard

Full-time|Remote|Canada

Join AuditBoard as a Senior Machine Learning Engineer I specializing in AI Governance, where you will play a pivotal role in shaping the future of AI technologies. Collaborate with cross-functional teams to develop and implement AI governance frameworks that align with ethical standards and industry regulations. Your expertise will help ensure that our AI systems are transparent, accountable, and trustworthy.

Mar 4, 2026

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Senior Machine Learning Engineer - Biometrics (Computer Vision)

Jumio

Full-time|On-site|Montreal

Role overview Jumio seeks a Senior Machine Learning Engineer with a strong background in computer vision and biometrics. This role centers on designing, building, and scaling face recognition systems for production use. Responsibilities include developing and training models, managing their lifecycle on AWS, and advancing the maturity of Jumio’s machine learning systems. Final seniority will be determined during the interview process. Main responsibilities Design and develop advanced computer vision solutions for biometric applications, covering face attribute analysis, detection, quality assessment, and recognition. Conduct fairness assessments and benchmark biometric models across diverse datasets and operational scenarios. Build, train, and optimize machine learning models using frameworks such as PyTorch, TensorFlow, or JAX. Oversee end-to-end ML pipelines, from data ingestion through deployment. Use automated workflows (Airflow) for data collection and cleaning, curate balanced datasets, and generate synthetic data to address diversity or quality gaps. Optimize models for low-latency inference with techniques like quantization and distillation, and deploy using tools such as TensorRT and ONNX on AWS infrastructure. Mentor other ML engineers, conduct code and design reviews, and help shape best practices for the Computer Vision team. Requirements Minimum 5 years of professional experience in machine learning, with at least 3 years focused on biometrics or face analysis. Deep understanding of computer vision and biometrics, particularly face recognition technologies. Awareness of fairness and ethical issues in AI, including algorithmic bias in computer vision and experience measuring or mitigating disparate impact. Advanced engineering skills in Python and libraries such as Pillow, OpenCV, and PyTorch, with the ability to write clean, modular, production-ready code. Experience designing ML pipelines from data collection to deployment and familiarity with workflow orchestrators like Airflow. Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS). Preferred qualifications Research publications at conferences such as CVPR, ICCV, ECCV, or FG in areas like face recognition, image quality assessment, or fairness. Experience with large-scale search technologies, including vector databases (Milvus, Faiss) and approximate nearest neighbor (ANN) algorithms. Location This position is based in Montreal.

Apr 22, 2026

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Lead Senior Machine Learning Engineer for Geospatial Analytics

Spexi

Full-time|On-site|Vancouver

At Spexi, we are at the forefront of drone technology, striving to revolutionize the accessibility of ultra-high-resolution geospatial imagery. Our mission is to empower individuals and organizations to make more informed decisions about our physical world.We are excited to introduce the Spexi Network, a groundbreaking two-sided marketplace driven by drones and blockchain technology. As the world’s first Fly-to-Earn platform, we enable drone pilots to earn rewards for capturing aerial imagery, while providing organizations with seamless access to high-resolution imagery and critical data. This innovative approach supports remote monitoring of buildings, infrastructure, natural resources, and more, allowing our users to enhance their planning and response strategies without the need for drone ownership or pilot hiring.We are seeking a Senior Machine Learning Engineer to spearhead the development of cutting-edge models, algorithms, and prototype systems that redefine the realm of geospatial imagery analytics. Your expertise will bridge cutting-edge research and production, delivering high-quality, well-structured code that lays the groundwork for the next generation of Spexi’s geospatial intelligence products.

May 4, 2026

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Machine Learning Engineer Opportunity in Toronto, Canada

Tiger Analytics

Full-time|On-site|Toronto, Ontario, Canada

Tiger Analytics is a leading analytics consulting firm that partners with several Fortune 100 companies, empowering them to derive significant business insights from their data. Our team consists of highly skilled consultants with extensive knowledge in Data Science, Machine Learning, and Artificial Intelligence. We have received recognition from renowned market research firms such as Forrester and Gartner for our innovative approaches and leadership in the analytics space.We are seeking passionate and driven Machine Learning Engineers to join our dynamic team.In this role, you will:Develop and implement solutions for deploying, executing, validating, monitoring, and enhancing data science initiatives.Design scalable and high-performance machine learning systems.Create reusable data pipelines for the seamless integration of machine learning models.Produce high-quality production code and libraries that can be containerized for deployment.

Sep 12, 2022

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