Senior Staff Machine Learning Engineer - ML Underwriting

About Torc RoboticsAt Torc Robotics, we are at the forefront of revolutionizing transportation with our autonomous vehicle technology. Since our inception in 2007, we have partnered with leading organizations to commercialize our solutions. Now a proud member of the Daimler family, we focus on developing cutting-edge software for automated trucks, aiming to transform freight movement globally.Join us at Torc Robotics and elevate your career with a pioneering company in autonomous technology, recognized as the first AV software firm to collaborate directly with truck manufacturers.Meet The Team:Our dedicated team empowers machine learning developers across Torc to create advanced autonomous vehicle solutions on a large scale. We oversee the entire ML experimentation lifecycle, from concept creation to model validation and performance comparison, ultimately converting the most effective models into operational truck formats. As we leverage AWS along with Lightning and Ray for distributed ML tasks, we seek a talented Senior ML Engineer to help shape the future of autonomous freight.

About this OpportunityJoin a global leader in networking that is transforming how businesses manage their networks. Our AI Core group is at the forefront, developing pioneering platforms across various domains such as Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning large language models. Here, innovation is not just welcomed; it is a core expectation.The RoleAs a pivotal AI ML Engineer, you will take on a leadership role in shaping our machine learning strategy. You'll be responsible for creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.Key ResponsibilitiesDefine and lead the technical vision for machine learning solutions across our product portfolio.Manage the complete software development lifecycle, overseeing everything from design and code reviews to deployment and operational management.Architect robust, scalable microservices, including both synchronous and asynchronous web services.Develop real-time inference pipelines for complex models leveraging tools like Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a strong team culture.Promote engineering excellence, system resilience, and continuous improvement in operations.

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.

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.

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 Mistplay, the leading loyalty app for mobile gamers, as a Senior Machine Learning Platform / Infrastructure Engineer II. At Mistplay, our vibrant community of millions of mobile gamers engages with our platform to discover new games and earn valuable rewards. Players are compensated for their time and investment in gaming, redeeming these rewards for gift cards. Our mission is to enhance the mobile gaming experience for everyone, everywhere! Download Mistplay on the Google Play Store here and connect with us on Instagram, Twitter and Facebook.Important Note: In Canada , Mistplay operates under a hybrid model, requiring 2 days per week in-office presence in Toronto (400 University Ave) & Montreal (1001 Blvd. Robert-Bourassa).

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

About Torc RoboticsAt Torc Robotics, we are at the forefront of revolutionizing autonomous vehicle technology, fundamentally changing the way we travel, transport goods, and conduct business. As a pioneering leader in the autonomous driving sector since 2007, we have spent over a decade collaborating with experienced partners to bring our innovative solutions to market. Now part of the esteemed Daimler family, we are dedicated exclusively to developing cutting-edge software for automated trucks, reshaping the future of freight movement. Join us to elevate your career with a company that has not only pioneered autonomous technology but also uniquely partnered with truck manufacturers to advance the field.Meet the Team:The Pseudo-Labeling team is committed to generating high-quality annotations on sensor data, including images and point clouds. Our annotations encompass 2D and 3D bounding boxes, classifications, trajectories, lane markings, segmentations, and depth information. These annotations serve various downstream users, supporting both perception teams in model training and simulation teams in data generation.

Who You Are:Adaptable and Proactive Problem Solver. You excel in dynamic environments where data is unstructured, and solutions are not immediately apparent. You possess the ability to define problems, make logical assumptions, and adapt swiftly as challenges arise.Systematic Thinker. Your focus extends beyond just models; you consider the entire lifecycle of data, including its generation, movement, deployment of models, and the impact of outputs on product performance. You prioritize accuracy while also valuing latency, reliability, and transparency.Collaborative Team Player. You thrive in teamwork, effectively liaising with product, firmware, backend, and design teams to bridge business objectives, technical constraints, and implementation challenges. Your communication is clear, and you value collective success over individual accolades.What We Need:End-to-End Ownership of Data and ML Systems. You will be responsible for designing, building, and maintaining the data pipelines and machine learning models that drive our core product functionalities.

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.

Role overview Aerovect is looking for a Machine Learning Operations Software Engineer to join the team in Toronto. The position centers on building and deploying machine learning models that support the company’s products. The main focus is on refining workflows, maintaining model reliability, and contributing to the team’s results. What you will do Develop and maintain systems that handle the deployment of machine learning models Collaborate with engineers and data scientists to improve and streamline machine learning processes Help ensure the performance and reliability of Aerovect’s product offerings Location This role is based in Toronto.

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.

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

About maneva maneva builds AI systems for manufacturing, using vision and production data to reduce downtime, improve quality, and support worker safety through automation on the factory floor. Role Overview This contract position calls for a Machine Learning Engineer / Research Engineer to join maneva's research and engineering efforts. The role involves close collaboration with a lead researcher and robotics engineers to advance industrial automation solutions. What You Will Do Work alongside a lead researcher to guide modeling choices, run structured experiments, and contribute to academic paper development. Implement and maintain policy training code for methods such as ACT, Diffusion Policy, Pi0 fine-tuning/OpenPi, and baseline techniques. Independently investigate and apply new methods from recent academic literature. Run ablation sweeps, prepare comparison tables and plots, and analyze results to extract insights. Maintain an evaluation harness to support reproducibility across experiments. Conduct literature reviews and organize documentation for ongoing and completed work. Draft and refine technical writing, including methods, experiments, and related work sections. Review training code written by robotics engineers as needed. Location Remote , Toronto, Ontario, Canada

About League League Inc. is a healthcare consumer experience platform founded in 2014. The company’s AI-driven technology reaches more than 63 million people worldwide. League partners with payers, providers, and consumer health organizations to deliver engaging healthcare solutions that improve outcomes. With over $285 million in venture funding, League supports leading brands such as Highmark Health, Manulife, Medibank, and Shoppers Drug Mart. Role Overview League is hiring a Senior Machine Learning Engineer specializing in small language models (SLMs) to join the remote AI Models team in Canada. This role centers on research and engineering, with a strong emphasis on experimentation, model development, and building applied AI systems. The work will directly influence League’s healthcare platform by advancing domain-specific language models. What You Will Do Translate recent research into practical implementations for League’s platform Experiment rapidly with model architectures and optimization strategies Use modern AI tools and frameworks to speed up development cycles Collaborate with AI leadership to investigate, prototype, and operationalize new approaches to language models Partner with platform and product teams to move high-impact innovations into production Model Development & Experimentation Design and run experiments focused on fine-tuning, distillation, and optimization of small language models (1–10B parameters) Prototype and evaluate new methods to improve model performance, efficiency, and reasoning quality Apply modern tools and AI-assisted workflows to accelerate iteration Applied AI & Systems Integration Build applied systems that connect models, data pipelines, and evaluation frameworks Location This position is remote and open to candidates based in Canada.

About UsOptro is at the forefront of innovation, having achieved over $300 million in annual recurring revenue and maintaining rapid growth. As the premier platform for audit, risk management, ESG, and InfoSec, we empower more than half of the Fortune 500, including seven of the Fortune 10, to navigate their businesses with enhanced clarity and agility. Our customers consistently rate us highly on G2.com and Gartner Peer Insights, reaffirming our commitment to excellence.Our culture thrives on collaboration and creativity, inspiring our team to develop solutions that benefit both our clients and our communities. We are dedicated to breaking barriers and delivering the most trusted audit, risk, ESG, and InfoSec platform, which has earned us a spot as one of Deloitte's 500 fastest-growing tech companies in North America for seven consecutive years!Position OverviewWe are excited to invite a talented and enthusiastic Senior Machine Learning Engineer to enhance our innovative risk management solutions. This role involves working with state-of-the-art Large Language Models (LLMs) and employing advanced techniques such as Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation. You will be instrumental in developing cutting-edge AI/ML features that enrich our AuditBoard product suite, including interactive chat interfaces, intelligent workflows, and personalized analytics. If you are passionate about applying modern AI methodologies to revolutionize the industry, we want to hear from you. Join our customer-centric team, committed to ongoing learning and innovation.Key ResponsibilitiesLead the end-to-end development, deployment, and ownership of product features.Collaborate with designers and product managers to create high-impact features.Utilize a wide range of methodologies—from traditional machine learning to LLM-focused strategies—with an emphasis on reliability, performance, and maintainability.Produce clean, maintainable, and testable code.Create clear and concise design documentation.Diagnose, troubleshoot, and rectify software bugs.Maintain a product-oriented mindset, prioritizing customer needs.Stay abreast of industry trends and advancements in AI/ML.

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.

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.

Join Us in Shaping the Future of AI and Data!At Datatonic, recognized as a premier partner in AI for Google Cloud, we are at the forefront of technological transformation for leading global enterprises. Our expertise ranges from machine learning and data engineering to analytics, all within the Google Cloud Platform ecosystem. Collaborating with us enables our clients to future-proof their operations, harness actionable insights, and maintain a competitive edge in a fast-evolving landscape.Your MissionIn the role of a Senior Machine Learning Engineer, you will craft elegant, efficient code in Python and take pride in your engineering output. You will champion high-quality development practices for both production software and rapid prototypes.Although the position is predominantly hands-on, we are particularly interested in candidates ready to lead projects and engage actively in client discussions. Key responsibilities include establishing trusted relationships with clients, creatively applying machine learning to resolve challenges, defining project scopes, and managing the successful delivery of engagements.To excel in this role, you should possess robust ML and Data Science fundamentals, along with proficiency in selecting appropriate tools for diverse ML use cases. Comfort with model optimization and deployment practices is essential. Additionally, you should exhibit exceptional communication and consulting skills, with a commitment to addressing real business needs through innovative AI and Cloud solutions.