Senior Machine Learning Engineer

About Torc RoboticsAt Torc, we are dedicated to revolutionizing transportation through advanced autonomous vehicle technology. As a pioneer in the field since 2007, we have partnered with experienced collaborators to bring our innovative solutions to market. Now part of the Daimler family, we focus on developing cutting-edge software for automated trucks, ai…

About the Company At Torc, we firmly believe that autonomous vehicle technology will revolutionize how we travel, transport goods, and conduct business. As a leader in autonomous driving since 2007, Torc has dedicated over a decade to commercializing solutions alongside experienced partners. We are now part of the Daimler family, allowing us to focus solely on developing software for automated trucks, thereby transforming the way goods are transported worldwide. Join our team and propel your career forward with an industry pioneer!

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 Torc RoboticsAt Torc, we firmly believe that autonomous vehicle technology will revolutionize the way we travel, transport goods, and conduct business.As a pioneer in autonomous driving since 2007, Torc has spent over a decade delivering solutions alongside seasoned partners. We are now part of the Daimler family, allowing us to focus solely on developing software for automated trucks. We are poised to change the way the world moves goods.Join our team and propel your career forward with a company that has played a pivotal role in creating autonomous driving technology (AD). We are the first AD software company to have the vision to partner directly with a truck manufacturer.

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.

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.

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.

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 Torc Robotics At Torc Robotics, we envision a future where autonomous vehicle technology revolutionizes transportation, freight movement, and business operations. As a trailblazer in autonomous driving since 2007, we have dedicated over a decade to commercializing our advanced solutions in partnership with industry leaders. Now part of the Daimler family, our focus is on engineering cutting-edge software for automated trucks, reshaping the way goods are transported across the globe. Join us to accelerate your career with a company that pioneered autonomous technology and was the first software firm to collaborate directly with a truck manufacturer. Team Overview In the role of Senior Machine Learning Engineer - Camera Systems, you will be instrumental in the development and deployment of machine learning models that enable camera-based perception for autonomous trucks. The Camera Models team is responsible for creating and refining core vision systems that empower our autonomy stack to comprehend the environment, detect and localize objects, and reconstruct scene structures using camera data. Your collaboration with cross-functional teams in perception, data, and infrastructure will involve taking ownership of the development and enhancement of robust, scalable camera-based models that ensure safe and dependable autonomous driving in real-world freight scenarios. This position emphasizes the ownership of model development for targeted problem domains, iterative system performance improvements, and the delivery of production-ready machine learning solutions within the autonomy framework.

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.

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

About Torc RoboticsAt Torc, we are committed to revolutionizing the landscape of autonomous vehicle technology, transforming the way we travel, transport goods, and conduct business. With a legacy of leadership in autonomous driving since 2007, we have dedicated over a decade to commercializing innovative solutions in partnership with seasoned experts in the field. As a proud member of the Daimler family, our focus is firmly on developing cutting-edge software for automated trucks, dedicated to reshaping the future of freight transportation.Join our team and advance your career with a company that pioneered the development of autonomous technology, being the first AV software company to collaborate directly with a truck manufacturer.

Torc Robotics is looking for a Machine Learning Engineer II to join the App Engine team. This position is available in Ann Arbor, MI or Montreal, Canada. Role overview This engineer will focus on designing, building, and deploying machine learning models for robotics applications. The work centers on supporting and enhancing the App Engine platform, with a strong emphasis on technical problem-solving in the robotics field. Key responsibilities Collaborate with cross-functional teams to develop and implement machine learning models for robotics. Apply technical expertise to address complex challenges in machine learning and robotics. Contribute to ongoing projects that improve and expand the App Engine platform’s capabilities. Collaboration This position works closely with engineering, product, and research teams to integrate machine learning into practical robotics systems.

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).

About UsAt osedea, we are a dynamic and innovative technology development company that places people at the core of our mission. Our commitment extends beyond delivering exceptional services to our clients; we genuinely care about our team members' aspirations, dreams, and professional growth.We believe in the strength of community, actively seeking to forge meaningful connections with everyone we encounter.Diversity is celebrated in all its forms here. We value different backgrounds, perspectives, and experiences, fostering an environment where every individual feels welcomed and included.With a focus on collaboration and enjoyment, we approach each day with enthusiasm as we strive to create a more efficient and enjoyable world.

Join our dynamic team at Jobs for Humanity as a Senior Machine Learning Programmer within our innovative Content Technology Group. In this role, you will leverage your expertise in machine learning to develop cutting-edge solutions that enhance content creation processes. You will collaborate with cross-functional teams to implement AI-driven strategies that impact our global audience.

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.

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.