About the Role torcrobotics is looking for a Staff Engineer in Machine Learning with a focus on BEV (Bird's Eye View). This remote position is open to candidates in Canada, including Montreal. The role centers on building machine learning solutions that advance autonomous vehicle technology. What You Will Do Design and implement algorithms for interpreting complex data from multiple sensors Collaborate with engineers and researchers to improve the performance and safety of autonomous systems Contribute expertise in BEV techniques to support seamless system operation

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.

Join Fullscript as a Staff Machine Learning Engineer, where you will play a pivotal role in designing and implementing innovative machine learning solutions that enhance our platform’s capabilities. You will work closely with cross-functional teams to develop algorithms and models that drive our business forward, making a significant impact on the healthcare industry.

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.

At Affirm, we are transforming the credit landscape to offer a more honest and user-friendly experience, empowering consumers with the freedom to buy now and pay later, free from hidden fees and compounding interest.As a Senior Staff Machine Learning Engineer, you'll be a critical member of our pioneering machine learning team. Committed to Affirm’s mission of enhancing financial services with transparency and inclusivity, you will leverage cutting-edge machine learning technologies to ensure our financial products are responsible and accessible.In this influential role, you will help define the future of machine learning at Affirm. Collaborating with teams across ML Platform, engineering, product, and risk, you will design, implement, and scale sophisticated modeling strategies that inform vital decisions throughout the organization. You'll elevate our modeling capabilities, impact architectural strategies, and ensure our systems are equipped to handle increasingly complex workloads. As a mentor to senior engineers, you will provide clarity on intricate and ambiguous challenges while contributing to our comprehensive long-term machine learning strategy. If you are passionate about modern machine learning and eager to drive significant innovation in a rapidly evolving environment, Affirm is the perfect place for you.

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change

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).

c-serv is forming an AI Red Team to improve the security of enterprise AI products. As an Adversarial Machine Learning Engineer, the focus will be on identifying vulnerabilities in large language model (LLM) systems and testing their defenses before they reach enterprise clients. This hands-on position addresses practical security challenges in real-world AI deployments. Main responsibilities Perform adversarial assessments targeting LLMs and other AI systems Simulate real-world attack scenarios, including: Prompt injection Jailbreaking and bypassing model guardrails Data exfiltration Model inversion and evasion Manipulation of retrieval-augmented generation (RAG) pipelines Develop scripts and tools to automate attack scenarios Evaluate model behavior and performance under adversarial conditions Identify weaknesses in technical components, such as: APIs Embedding pipelines Vector databases Fine-tuned model deployments Collaborate with engineering teams to verify fixes and improvements Document findings clearly and thoroughly Location This position is based in Calgary, Alberta, Canada. Impact The work in this role directly supports the reliability and security of AI systems before they are deployed at scale for enterprise use.

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.

“Transform every logistics journey into a remarkable experience”Company Overview:Established in 2014, Quincus is a pioneering B2B SaaS platform specializing in supply chain operations, with its headquarters in Singapore. Our mission is to tackle the pressing challenges of global supply chains through innovative technology. By leveraging AI and machine learning, we have revolutionized the logistics landscape, providing our clients with unparalleled transparency and efficiency in their supply chain operations.Founded by two visionary entrepreneurs with over a decade of tech experience, Quincus is led by Chief Product Officer Katherina-Olivia Lacey, who champions a tech revolution while promoting women's empowerment within the supply chain sector. CEO Jonathan E. Savoir, recognized in Forbes' 30 Under 30 Asia List in 2020, also contributes to several startup boards, driving innovation forward.Role Overview:Quincus Research is at the forefront of developing the next generation of intelligent systems for our suite of products. We are seeking a highly motivated and skilled Machine Learning Engineer to join our dynamic team. You will play a pivotal role in designing and deploying deep learning and reinforcement learning algorithms at scale. Your expertise will be essential in creating scalable systems for model serving, optimizing inference performance, and managing production workflows.Key Responsibilities:- Design and implement scalable systems for deploying deep learning and reinforcement learning models.- Optimize the inference performance of models through advanced techniques like quantization, pruning, and distillation.- Leverage GPU computing to enhance model training and inference efficiency.- Develop and manage production workflows for the training and deployment of machine learning models.- Collaborate cross-functionally with data scientists and software engineers to create effective machine learning systems.- Monitor and enhance the performance of machine learning models in production.- Stay abreast of the latest advancements in deep learning and reinforcement learning methodologies.

About FaireFaire is an innovative online wholesale marketplace that champions the local economy. We believe that independent retailers worldwide can outpace major corporations like Walmart and Amazon, even if they are smaller entities in comparison. At Faire, we harness technology, data, and machine learning to empower a vibrant community of entrepreneurs globally. Think of your favorite local boutique; we facilitate their access to the finest products from around the world, enabling them to thrive in their neighborhoods. By providing the right tools and insights, we aim to level the playing field, allowing small businesses to effectively compete with e-commerce giants.By nurturing independent businesses, Faire is fostering positive economic growth in local communities worldwide. We are on the lookout for intelligent, resourceful, and passionate individuals to join our mission of promoting the shop local movement. If you believe in community and collaboration, we invite you to be part of ours.About this RoleAs a Senior Staff Machine Learning Platform Engineer, you will be responsible for shaping the technical vision and progression of Faire’s ML platform. Your role will include setting standards, influencing organization-wide architecture, and leading complex, cross-functional initiatives to enhance data science efficiency on a large scale. Additionally, you will play a crucial role in adapting ML workflows to leverage contemporary AI productivity tools. Your work will not only involve building models but also architecting the systems that empower those models to support tens of thousands of small retailers in growing their local businesses.

Join Our Innovative TeamSanctuary AI is at the forefront of developing dexterity-driven Physical AI for versatile robots. We are on the lookout for talented Machine Learning Engineers to become part of our dynamic team of engineers, researchers, and scientists. Together, we are committed to overcoming significant challenges in robotic perception, dexterous manipulation, planning, and reasoning.In this role, you will concentrate on creating robust systems to train and implement machine learning policies in robotic platforms. You will collaborate closely with researchers to introduce and execute cutting-edge ML techniques in production environments. Utilizing our state-of-the-art in-house robotic systems, you will design, test, and enhance software that connects advanced methodologies to practical outcomes. This role presents a unique opportunity to contribute to both the engineering foundations and the applied ML capabilities that propel our robots into the future.Note: Your role may require occasional travel (typically one to two weeks at a time, several times a year) to work closely with partners and teams on essential projects.

Join bree as a Machine Learning Engineer, where you will be at the forefront of cutting-edge technology, developing algorithms and models that drive innovation. Collaborate with a dynamic team to enhance machine learning frameworks and contribute to impactful projects that transform data into actionable insights.

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.

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.

Join SandboxAQ: Innovators in AI SolutionsSandboxAQ is an exciting high-growth company dedicated to harnessing AI technologies to tackle some of the world's most pressing challenges. Our cutting-edge Large Quantitative Models (LQMs) are pivotal in driving advancements across various fields such as life sciences, financial services, navigation, and cybersecurity.As a part of our dynamic global team, you will collaborate with experts from diverse disciplines, including AI, chemistry, cybersecurity, physics, mathematics, and engineering. Founded in 2022 as an independent entity emerging from Alphabet Inc., SandboxAQ is backed by prominent investors and a braintrust of industry leaders.We are committed to fostering a creative, collaborative, and impactful work environment. By investing in our talented workforce, we aim to empower individuals to address significant global challenges. Join us to elevate your career while contributing to a mission that inspires innovation and transformative change.Your Role: Staff ML Research EngineerThe AI Sim R&D team is at the forefront of developing state-of-the-art machine learning and physics-based models to enhance drug and materials discovery. As a member of our innovative, multidisciplinary team, your work will significantly accelerate the development of new molecules and medicines.In your role as a Staff ML Research Engineer, you will bridge the gap between groundbreaking research and real-world applications, with the goal of establishing in silico design as the primary approach in drug discovery. Your primary responsibilities will include architecting, scaling, and optimizing the scientific codebases that drive our LQMs. In your first year, you will facilitate the transition of impactful prototypes into stable products, manage distributed training pipelines utilizing top-tier GPU infrastructure, and lead hardware-level optimizations to enhance computational chemistry capabilities.

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

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.

Later is the leading platform in influencer marketing, empowering brands to craft unforgettable campaigns with confidence. By leveraging genuine creator relationships, reliable intelligence, and expert support, Later eliminates uncertainty from one of marketing's most visible investments.Our AI-driven platform, backed by over a decade of proprietary data—including billions of social interactions, impressions, and more than $2.4 billion in verified influencer-generated purchases—enables teams to predict campaign success before launch.By merging valuable insights with expert guidance, Later takes the guesswork out of influencer marketing, allowing brands to select the ideal creators, execute thoroughly managed campaigns, and achieve significant growth in awareness, engagement, and revenue. Trusted by major enterprise brands such as Nike, Wayfair, Unilever, and Southwest Airlines, Later harmonizes creativity with performance to ensure campaigns not only look impressive but also yield tangible results. Discover more at later.com.About this Position:We are seeking a Machine Learning Infrastructure Engineer to join our expanding Data & Platform team. In this pivotal role, you will establish the framework that drives our AI and machine learning capabilities across Later's product suite. As our inaugural dedicated ML Infrastructure Engineer, you will oversee the systems that facilitate model experimentation, training, deployment, and large-scale monitoring.This position is essential for accelerating our data science endeavors and fostering future AI innovations. You will design and maintain reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to deploy impactful models confidently. If you are passionate about creating robust ML systems in a dynamic environment and are eager to set the standard for ML Ops at Later, this is your chance.