Senior / Staff Platform Engineer - Machine Learning & Data

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 mi…

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.

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.

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.

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.

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.

Join Our Innovative TeamSanctuary AI, a pioneering force in developing dexterity-driven Physical AI for versatile robots, is on the lookout for a talented and enthusiastic Machine Learning Research Intern to join our dynamic ML team. You will play a crucial role in engineering and innovating advanced robotic manipulation tasks.As an intern reporting directly to the RL Lead, you will engage with diverse challenges related to perception, planning, and motion systems within humanoid general-purpose robots. This experience will provide you with invaluable insights into the design, architecture, and implementation of the simulation platforms and machine learning systems that drive our robots.We offer flexibility regarding the internship start date and duration, tailoring it to suit your academic commitments.

At d-Matrix, we are pioneering the potential of generative AI to transform the technology landscape. Positioned at the cutting edge of both software and hardware innovation, we continuously strive to expand the horizons of what can be achieved in this dynamic field. Our workplace culture is built on the principles of respect and collaboration.We emphasize the importance of humility and open communication. Our inclusive team thrives on diverse perspectives, which lead to innovative solutions. We are on the lookout for motivated individuals who are passionate about overcoming challenges and are driven by tangible outcomes. Are you ready to explore your playground? Together, we can unlock the infinite possibilities of AI.Job Title: Software Engineering Intern - KernelsLocation: Toronto, CanadaProgram Duration: 12 weeks: June 1st - August 21st or June 22nd - September 11thProject Overview:As a Software Engineering Intern on our Kernels team, you will have a significant impact on the development of high-performance kernels that are crucial for accelerating machine learning models. Your role will encompass creating reference implementations for accuracy verification, defining unit tests for the implemented operators, optimizing performance, conducting scalability analysis across varying problem sizes, and packaging and shipping the final implementations. You will also gather performance metrics and identify bottlenecks to enhance core functionality.What You Will Do:Implement high-performance kernels using low-level languages (Assembly/ISA experience is a plus).Develop, test, and optimize kernels for machine learning models and performance.Automate the creation of reference implementations and unit tests.Analyze scalability and performance, collect metrics, and troubleshoot bottlenecks.Package and share implementations with partner teams.

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.

Join Upwork Inc., a global leader in connecting businesses with AI-enabled talent, as a Senior Lead Machine Learning Engineer. In this pivotal role, you will architect and scale the future of agentic intelligence, leading the end-to-end development of AI agents and their underlying platform. From training and evaluating large language models to ensuring runtime orchestration and safety, you will drive innovative solutions that empower both internal teams and external developers to create reliable and high-performing AI agents. This hands-on position blends applied research with platform engineering, making a significant impact on Upwork's mission to transform the workforce for the age of AI.

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.

Who You Are:An AI-native software engineer. You integrate AI seamlessly into your software development process, enhancing your workflow and improving the speed and quality of your releases. You possess a strong intuition for effectively utilizing models and guiding them toward desired outcomes.Grounded in engineering fundamentals. You recognize that AI-assisted development demands a foundation of taste, judgment, and rigor. Your commitment to code quality, testability, system design, and maintainability ensures that rapid deployment does not compromise long-term viability.Curious and constantly learning. The AI landscape evolves rapidly, and you proactively stay informed on new models, tools, and techniques. Your genuine interest drives you to discern valuable advancements that enhance product delivery.What We Need:Fluency with AI-assisted development. You have extensive experience in utilizing AI tools to enhance software development processes.Proficiency in programming languages. You are skilled in languages such as Python, Java, or C++ and understand their application in AI development.Strong problem-solving skills. You can analyze complex problems and devise innovative solutions leveraging AI technologies.

Cresta is dedicated to transforming customer interactions into a strategic edge by harnessing the full potential of contact centers. Our innovative platform merges advanced AI capabilities with human intelligence, enabling contact centers to uncover valuable customer insights, streamline conversations, automate inefficient processes, and empower team members to enhance productivity. Founded by visionary leaders from the esteemed Stanford AI lab, including Sebastian Thrun, known for his groundbreaking work with Google X and Waymo, Cresta's leadership also features Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI.Embark on an exhilarating journey with us to redefine the workplace through AI. The future of work is unfolding at Cresta.About the Role:The Knowledge Assist (KA) team at Cresta is at the forefront of developing AI solutions tailored for the contact center industry, with a primary focus on enhancing agent productivity by ensuring access to the right knowledge at the right moment.Current projects include:Generative Knowledge Assist (GenKA): Provides real-time, context-aware suggestions for contact center agents, integrating multiple knowledge bases to facilitate quick information retrieval and ensure accurate responses.Knowledge Search (KS): A custom search experience designed specifically for contact center agents, built on the GenKA infrastructure, with aspirations to evolve into a comprehensive enterprise search solution.Retrieval-Augmented Generation (RAG): A pivotal initiative supporting GenKA and KS, focusing on efficient retrieval of relevant knowledge and generating ready-to-use responses based on this knowledge.Our internships are set in a dynamic, fast-paced environment where collaboration with top researchers and engineers is encouraged. Interns will have the opportunity to contribute to significant AI research and implement innovative techniques at scale.This internship offers a rare chance to influence the future of AI at Cresta by tackling complex challenges and introducing groundbreaking AI advancements into real-world applications.

About Us Nubank stands as one of the largest digital financial platforms globally, serving over 127 million customers across Brazil, Mexico, and Colombia. With a mission to combat complexity and empower individuals, we are on a journey to redefine financial services in Latin America, and this is just the inception of the vibrant future we are constructing. As a publicly traded company on the New York Stock Exchange (NYSE: NU), we leverage proprietary technology, advanced data intelligence, and a streamlined operating model to provide financial products that are straightforward, accessible, and human-centric. Our contributions to the financial sector have garnered recognition from esteemed global rankings such as Time's 100 Companies, Fast Company's Most Innovative Companies, and Forbes' World’s Best Bank. Explore more about our team and opportunities at Careers at Nubank. About the Role Data forms the cornerstone of Nubank’s AI and machine learning models, allowing millions of customers to access equitable financial products. As a Lead Machine Learning Engineer within the AI Core Data Intelligence team, you will engage in a diverse range of activities—from constructing scalable data infrastructures and feature pipelines that support our cutting-edge foundation models to designing, training, and deploying transaction classification models that enhance crucial customer experiences throughout the organization. Your role will be pivotal at the convergence of data and applied machine learning, contributing to various phases of the ML lifecycle: acquiring and labeling data, training and assessing models, and assisting in deployment and production monitoring through rigorous quality controls. Collaboration with product, compliance, and ML teams will be essential to ensure that models are auditable, respect privacy, and yield measurable business value. Joining our team means being part of the data engineering backbone of AI Core, where you will ensure data is accessible, healthy, and accurately tracked across our entire ML ecosystem. Here, you will merge your skills in building scalable data systems with your enthusiasm for machine learning, crafting solutions that enable our models to learn from richer, higher-quality data. Learn more about our work in the AI Core team on our blog: Understanding Our Customers' Finances Through Foundation Models.

Tiger Analytics is on the lookout for a talented and forward-thinking Machine Learning Engineer with practical experience in Google Cloud Platform (GCP) and Vertex AI. In this role, you will be pivotal in designing, developing, and implementing robust ML solutions. You will oversee the end-to-end ML lifecycle, encompassing data ingestion, model serving, and monitoring, ensuring seamless operationalization of machine learning models. Key Responsibilities: Develop, train, and refine ML models utilizing Vertex AI, including Vertex Pipelines, AutoML, and custom model training. Craft and establish scalable ML pipelines aimed at feature engineering, training, evaluation, and deployment. Deploy production models via Vertex AI endpoints and ensure integration with downstream applications or APIs. Collaborate effectively with data scientists, data engineers, and MLOps teams to create reproducible and reliable ML workflows. Monitor model performance, establishing alerting mechanisms, retraining triggers, and drift detection methods. Employ GCP services such as BigQuery, Dataflow, Cloud Functions, Pub/Sub, and GCS within ML workflows. Implement CI/CD best practices for ML models utilizing Vertex AI Pipelines, Cloud Build, and GitOps. Enforce model governance, versioning, explainability, and security best practices in Vertex AI. Thoroughly document architecture decisions, workflows, and model lifecycles for internal stakeholders. Requirements:1. Advanced Generative AI - Advanced RAG including Graph-based hybrid retrieval - Multimodal agentIn-depth knowledge of ADK, Langchain Agentic FrameworksExperience in fine-tuning and distillation. 2. Proficiency in Python - Expert in Python with strong OOP and functional programming skills - Proficient in ML/DL libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, PySpark - Experience with production-grade code, testing, and performance optimization 3. GCP Cloud Architecture & Services - Proficiency in GCP services such as: - Vertex AI - BigQuery - Cloud Storage - Cloud Run - Cloud Functions - Pub/Sub - Dataproc - Dataflow - Understanding of IAM, VPC4. API Development & Integration - Design and build RESTful APIs using FastAPI or Flask - Integrate ML models into APIs for enhanced functionality.

StackAdapt stands at the forefront of technological innovation, equipping marketers with the tools to effectively reach, engage, and convert their target audiences. With an astounding 465 billion automated optimizations executed every second, our AI-driven StackAdapt Marketing Platform bridges the gap between brand-driven and performance marketing, ensuring measurable outcomes throughout the customer journey. Visionary marketers choose StackAdapt to execute impactful campaigns across diverse programmatic advertising and marketing channels.We invite you to join our talented Data Science team as a Machine Learning Engineer! In this role, you will tackle complex challenges associated with StackAdapt's cutting-edge digital advertising platform. Collaborating closely with our Data Scientists, fellow Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder, you will develop robust pipelines and sophisticated ad optimization models. With databases capable of processing millions of requests each second, you will find an abundance of data and intriguing problems to solve. As a remote-first organization, StackAdapt boasts teams distributed globally. We welcome candidates from across Canada and the United States to apply. This role will remain open until February 20, 2026. Applications will be evaluated on a rolling basis, and the position will be closed once the deadline is reached. To learn more about our Data Science Team, visit: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/Discover more about our team culture here: https://www.stackadapt.com/careers/data-scienceWatch our presentation at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU

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 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.