Job Title: DevOps Engineer (ML Infrastructure) Company: Capgemini Engineering Job Category: Machine Learning Roles & Responsibilities: At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life\-saving robots, our digital and software technology experts think outside the box as they provide unique R\&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. This role is fully remote, anywhere in the Canada We are seeking a highly skilled Senior DevOps Engineer to help build, operate, and evolve large\-scale, business\-critical infrastructure platforms. This role focuses on reliability, scalability, automation, and operational excellence across distributed systems supporting high\-volume production workloads. You will work closely with software engineers, platform teams, and infrastructure specialists to deliver highly available services, improve developer productivity, modernize infrastructure, and drive innovation through automation and AI\-assisted operations. #### Your role * Develop and manage cloud\-native infrastructure supporting large\-scale ML workloads on Kubernetes. * Implement and operate batch scheduling solutions such as Volcano and Kueue to optimize utilization of GPU and compute resources. * Build and maintain CI/CD pipelines for ML services, infrastructure, and platform components. * Manage and optimize Kubernetes environments, including production workloads running on AWS EKS and other cloud platforms. * Lead and support infrastructure modernization and migration initiatives across cloud and platform ecosystems. * Partner with Data Scientists, ML Engineers, and Software Engineers to productionize machine learning solutions. * Implement robust observability, monitoring, and alerting distributed systems and GPU clusters. * Ensure platform reliability, security, scalability, and operational excellence. * Troubleshoot complex distributed systems and performance bottlenecks across infrastructure and ML workloads. #### Your skills and experience * Strong experience with Kubernetes and large\-scale workload orchestration. * Hands\-on experience with Kubernetes batch schedulers such as Volcano / Kueue * Solid understanding of Distributed systems, Containerization technologies, Cloud\-native architectures and Microservices\-based platforms. * Experience managing workloads on Kubernetes platforms such as AWS EKS. * Proven track record delivering and supporting infrastructure migration projects. * Strong programming skills in Python or Golang * Experience with Infrastructure\-as\-Code and deployment tools including Terraform / Helm. * Experience designing and maintaining CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or Azure DevOps and * Strong Linux systems administration and troubleshooting skills * Experience building observability solutions using: Prometheus, Grafana and * Understanding of ML lifecycle management, model deployment, and production operations. The base compensation range for this role in the posted location is: $72,056\- $138,940/year Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55\-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end\-to\-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Work Location: Toronto, Canada Availability: Full time

Job Title: Senior Machine Learning Engineer, Premium Discovery Company: Scribd, Inc. Job Category: Machine Learning Roles & Responsibilities: We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in\-person moments that strengthen collaboration and culture. Occasional in\-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long\-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. Role overview ----------------- We're looking for a Senior Machine Learning Engineer to own recommendations for Fable and grow into the technical lead for Premium recommendations. Key responsibilities ------------------------ * Lead the migration of Fable's recommendations onto Orion, covering data, features, training, serving and experiments, while keeping today's recommendations running. * Extend Orion's rankers, feature store and embedding\-based retrieval to support Fable, in partnership with the Orion ML platform team. * Own the health of Fable's recommendation systems in production: quality, latency, cost and on\-call. * Bring Fable's social signals (shelves, ratings, reviews, book clubs, reader similarity) into recommendations for both Fable and Everand. * Design and analyze A/B tests with product managers and analysts to decide what ships. * Act as technical lead for Premium recommendations. Shape the roadmap with product managers, and see work that depends on other teams' systems through to delivery. * Raise the bar on engineering practice in the squad through design reviews, code quality and operational readiness. * Scribd Flex (flexible work model) * Comprehensive health, dental, and vision coverage * Mental health support and disability coverage * Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals * Paid parental leave and family support benefits * Retirement matching and employee equity * Learning and development programs and professional growth opportunities * Wellness and home office stipends * Complimentary access to the Scribd, Inc. suite of products * Enterprise access to leading AI tools Work Location: Vancouver, Canada Availability: Full time

Job Title: Machine Learning Researcher - Narratologist Company: CD PROJEKT RED Job Category: Machine Learning Roles & Responsibilities: Job Description ------------------- CD PROJEKT RED is looking for a Machine Learning Researcher \- Narratologist to join our R\&D Team exploring potential new features for game development. In this role you will find and push the boundaries of computational narratology, the study of techniques to understand and react to (but not generate) narrative text. Responsibilities: * Company\-paid medical healthcare (dental, vision, and mental). * Free mental health support, including access to counseling, psychiatric care, and a variety of well\-being webinars. * Paid leave — 26 days of vacation, 10 sick days, \& 12 calendar holidays per year * RRSP with employer matching. * Lifestyle Spending Account (LSA) – $100 per month to use towards fitness, wellness, internet, home office equipment, learning, streaming services, and more. * Menstrual leave — employees who menstruate can take one extra day off when experiencing period pain. * RED Parents Network — support for working parents. * Flexible working hours. This position is a new role. Work Location: Montreal, Canada Availability: Full time

Job Title: Machine Learning Researcher - Narratologist Company: CD PROJEKT RED Job Category: Machine Learning Roles & Responsibilities: Job Description ------------------- CD PROJEKT RED is looking for a Machine Learning Researcher \- Narratologist to join our R\&D Team exploring potential new features for game development. In this role you will find and push the boundaries of computational narratology, the study of techniques to understand and react to (but not generate) narrative text. Responsibilities: * Company\-paid medical healthcare (dental, vision, and mental). * Free mental health support, including access to counseling, psychiatric care, and a variety of well\-being webinars. * Paid leave — 26 days of vacation, 10 sick days, \& 12 calendar holidays per year * RRSP with employer matching. * Lifestyle Spending Account (LSA) – $100 per month to use towards fitness, wellness, internet, home office equipment, learning, streaming services, and more. * Menstrual leave — employees who menstruate can take one extra day off when experiencing period pain. * RED Parents Network — support for working parents. * Flexible working hours. This position is a new role. Work Location: Montréal, QC, Canada Availability: Full time

Job Title: Machine Learning Intern - Summer 2027 Company: BNP Paribas Job Category: Machine Learning Roles & Responsibilities: Join one of Montreal's Top Employers in 2026\. We are a leading international banking institution fully committed to building a more sustainable future. As an intern, you will benefit from a 4 months program that aims to give you the tools to develop yourself and discover your potential through customized trainings, networking sessions and transversal projects. During the four\-month internship, you will contribute to an applied research project aligned with the Lab’s priorities. These projects explore advanced AI capabilities for our solutions and are designed with the ambition of producing work suitable for a publication at a leading AI conference. Potential topics include agentic AI, AI evaluation, GenAI model specialization, or retrieval\-augmented generation (RAG). BNP Paribas is committed to fostering a work environment where all employees can feel heard, valued, safe and supported, and can be their authentic selves. BNP Paribas, the leading bank in the European Union and a major global financial institution, operates in 63 countries and has nearly 178,000 employees. Its mission is to foster a responsible, sustainable economy by financing and advising clients to the highest ethical standards while addressing environmental, regional development, and social inclusion concerns. With over 1,700 employees in Montreal and Toronto, BNP Paribas in Canada strives to develop long\-term relationships with its clients by supporting their business strategies and meeting their financing and investment needs, both locally and abroad. * BNP Paribas is committed to accessibility and inclusion. During the recruitment process, accommodation needs are available at all times for candidates. You will have the chance to make a request for an accommodation during your application. * You must be legally eligible to work in the Greater Montreal area and, if applicable, hold a valid work or study permit. Physical presence in BNP Paribas’ office(s) is an essential function of this position; * If you are applying and accepted to a position which requires working in/for the U.S. securities industry, you will be required to provide your fingerprints and undergo additional background checks by the FBI. BNP Paribas Securities Corporation is required to maintain a supervisory program over the conduct of its Associated Persons; some of your personal data will be transmitted to the United States of America and made available to US regulators. Please reach out to BNPP for additional information; or you can also find an overview here: 3110\. Supervision FINRA.org Work Location: Montreal, Canada Availability: Full time

Job Title: Senior, Machine Learning Engineer - Camera Model Company: Torc Robotics Job Category: Machine Learning Roles & Responsibilities: A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Meet the Team As a Senior Machine Learning Engineer – Camera Models, you will develop and deploy machine learning models that power camera\-based perception for autonomous trucks. The Camera Models team builds and maintains core vision systems that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data. Working closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera\-based models that support safe and reliable autonomous driving in real\-world freight environments. This role focuses on owning model development for scoped problem areas, improving system performance through iteration, and delivering production\-ready machine learning solutions within the autonomy stack. What You’ll Do * Design, develop, and deploy deep learning models for camera\-based perception (e.g., object detection, segmentation, depth estimation, scene understanding) * Own end\-to\-end model development for scoped areas, from data curation and training to evaluation and deployment * Write production\-quality ML code to support scalable training, evaluation, and inference pipelines * Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization * Contribute to and improve large\-scale training pipelines, including dataset preparation, distributed training, and experiment tracking * Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases * Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack * Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration * Contribute to model architecture decisions and technical discussions within the team * Mentor junior engineers on implementation, debugging, and best practices Work Location: For this position, we are open to hiring in Montreal, Canada or remote within Canada Work Location: Montreal, Quebec, Canada Availability: Full time

Job Title: Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation) Company: TD Job Category: Machine Learning Roles & Responsibilities: Work Location: Job Description: \Department Overview* * Research, validate, and apply new techniques in testing deep learning models applied to tabular/structured datasets. * Stay up to date with advancements in the field of AI including major publications, foundation models, evaluation metrics, explainability, technology stacks, and datasets. * In depth knowledge of techniques and developments in the field of AI/ML and share knowledge with business partners and senior management. * Develop/implement AI/ML model validation methodologies and standards, especially for Tabular Deep Learning / Foundation models. Ensure that the validation methodologies and standards are in line with industry best practices and address regulatory and audit requirements. * Work in Distributed Cluster / Cloud environments with large\-scale datasets ranging from transactions to large document collections. * Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Implement benchmark models as applicable. * Conduct R\&D in the area of Tabular Deep Learning and Foundation Models evaluation, testing, explainability. Communicate findings and recommendations to both technical and non\-technical stakeholders. * * Publications in the relevant conference and journals are a plus. * Ability to implement AI/ML algorithms from academic research papers is a plus. We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best. We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role. Work Location: Toronto, ON, Canada Availability: Full time

Job Title: Sr. Software Development Engineer in Test, AI/ML Company: Sony Interactive Entertainment Job Category: Machine Learning Roles & Responsibilities: Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting\-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI ---------------------------------------------------- We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM\-assisted test generation, and validation of AI\-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross\-functional, machine learning\-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. * Define and complete quality strategies, test plans, and automation coverage for ML\-powered services and platform components. * Use LLMs and other AI\-assisted techniques to generate, expand, and maintain high\-value test cases for ML\-powered workflows. * Design scenario\-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. * Lead QE efforts for multi\-functional projects, driving risk assessment, dependency management, and release readiness. * Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. * Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. * Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. * Perform functional, integration, regression, API, end\-to\-end, performance, and reliability testing for distributed systems. * Improve automation reliability, reduce flakiness, and optimize execution efficiency. * Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. * Collaborate across teams to establish scalable quality standards, tooling, and guidelines. * Strong combination of automation engineering and delivery ownership. * Ability to drive quality across complex cross\-functional initiatives. * Practical understanding of how to test non\-deterministic AI systems and separate model variance from quality regressions. * Proven risk management and dependency coordination skills. * Ability to influence engineering teams and promote quality guidelines. * Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. The estimated base pay range for this role is listed below. $114,900—$172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Work Location: Waterloo, ON, Canada Availability: Full time

Job Title: Staff Applied Scientist Company: Upstart Job Category: Machine Learning Roles & Responsibilities: As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that's both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We're proudly digital\-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80\+ cities in the US and Canada. Digital\-first doesn't mean distant. We're intentional about in\-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in\-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you'll have the support to work in the way that works best for you. Upstart's Unsecured Underwriting Machine Learning team develops and improves the models that inform credit decisions for our unsecured lending products. The team conducts machine learning research, evaluates model performance, and partners closely with Engineering teams to translate promising ideas into scalable model improvements. As an Applied Scientist, you will research and implement enhancements to Upstart's core unsecured underwriting model. Your work will directly influence credit decisioning and help the team increase the pace of research while maintaining the rigor, reliability, and responsible oversight required of production underwriting models. * Research machine learning and statistical approaches that improve the predictive performance of unsecured underwriting models. * Design, implement, and evaluate model enhancements using rigorous experimentation and validation methods. * Analyze model performance and downstream effects to confirm that proposed changes improve decisioning reliably. * Partner with various Engineering teams to support technical reviews, implementation, and deployment. * Translate research findings into clear recommendations, documented methodologies, and production\-ready solutions. Position location This role is available in the following locations: Remote For roles based in Canada, please note that we are not currently able to hire in Quebec. Work Location: Toronto, ON, Canada Availability: Full time

Job Title: Senior Machine Learning Engineer, AI Generation Engine Company: SandboxAQ Job Category: Machine Learning Roles & Responsibilities: We are a global team that is tech\-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital\-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end\-to\-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI\-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks. As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting\-edge technologies being developed at SandboxAQ. Key Responsibilities * Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks. * Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high\-level product objectives. * Contribute to the efforts in cleaning, transforming, and engineering features from complex and large\-scale datasets to optimize LQM performance and predictive accuracy. * Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper\-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context. * Collaborate closely with AI researchers, product managers, and SWEs to translate high\-level business objectives into actionable ML development and deployment roadmaps. * Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment. Highly Desired Skills \& Experience * MS or PhD in Software Engineering, Computer Science or equivalent experience * Financial simulation or technical experience, risk simulation * Equivalent experience includes tech leadership in a complex space, driving technical design and execution cross\-collaboratively across multiple teams and organizations * Experience with scalable software development on cloud computing platforms (e.g., GCP, AWS) Accommodations : We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Work Location: Canada Availability: Full time