Job Title: Bioinformatician Company: Norgen Biotek Corp. Job Category: Machine Learning Roles & Responsibilities: Job description Norgen Biotek is a leading Canadian biotechnology company focusing on sample preparation for research and diagnostic applications. Established in the Niagara Region in 1998, Norgen is currently looking for a bioinformatician to join our NGS Research Services team. As a member of our bioinformatics team, the incumbent will create and implement bioinformatics workflows on various NGS data specifically orientated towards a suite of researchers and labs to best suit their research needs and applications. The position will also contribute to designing, implementing, and reporting quality control and quality assurance processes from NGS output to ensure clinically robust reports. General Duties · Write clean, maintainable code and documentation for all bioinformatics related tasks. · Research, test and implement new statistical or machine learning techniques to enhance data insights from the present pipelines. · Develop scripts to visualize the results from bioinformatics analysis. · Provide technical support to customers. · Other duties and responsibilities as required Work Location: In person Work Location: Thorold, Canada Availability: Full time
Job Title: Software Engineer III - AI/ML Company: Electronic Arts Job Category: Machine Learning Roles & Responsibilities: Role ID 216421 Worker Type Regular Employee Studio/Department EA Studios \- Quality Verification Work Model Hybrid ### Description \& Requirements In FC Quality Verification Engineering, our mission is to help our teams identify quality issues earlier. We build automation frameworks and developer tools that combine software development and applied AI/ML to improve how we test EA\-SPORTS FC. Role summary You will work with us to build automated testing frameworks and evaluation tools, applying AI and machine learning to expand our test coverage. You will report to our Engineering Manager. You will work hybrid, at least 3 days a week, from our office in Burnaby, BC. Responsibilities * You will build automated testing frameworks, validation checks, and CI/CD pipeline integrations with reproducible diagnostics. * Develop methods that help us explore complex software behaviour, identify coverage gaps, and detect defects. * Build automated checks to validate software behaviour and data against requirements. * Develop evaluation frameworks for generative AI and LLMs\-based systems (e.g., implementing LLMs\-as\-a\-judge patterns, rubric\-based scoring, and automated calibration) alongside deterministic validation checks. * Apply generative AI, NLP, and machine learning, balancing heuristic, deterministic, and model\-based approaches to solve complex software testing problems. * Integrate testing tools into development pipelines, producing reproducible diagnostics, and support the software you deliver. * Prototype latest machine learning and LLMs capabilities, and collaborate with engineering, design, and quality partners to clarify requirements, review code, and resolve blockers. Work Location: Vancouver, Canada Availability: Full time
Job Title: Principal Software Engineering - Build System Modernization Company: General Motors (GM) Job Category: Machine Learning Roles & Responsibilities: Job Description As part of the application process, Artificial Intelligence will be used in the hiring process for this role Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum. The Role: General Motors is seeking a software engineering leader to modernize and scale the build systems that support software\-defined vehicles. This role will help lead the transition from a legacy Make\-based system to Bazel, Google’s open\-source build tool, improving speed, reliability, and robustness across the engineering organization. The successful candidate will drive this capability at scale, influence technical direction across teams, and help establish lofty platform capability goals. * Lead software engineering productivity and effectiveness by identifying opportunities, shaping strategies, improving processes, guiding change, and connecting initiatives to deliver greater value through innovation, learning, and simplification. * Lead high\-impact efforts hands\-on, solve complex and unusual problems, and communicate effectively as a coach and mentor while balancing technical command with empathy. * Modernize a large embedded\-software build and test system by transitioning legacy Make\- or shell\-based workflows to Bazel and establishing scalable, reproducible, secure, and developer\-friendly infrastructure across repositories, toolchains, CI/CD, testing, and release processes. * Assess current build, test, dependency, toolchain, and hardware workflows to define a phased Bazel migration strategy and rollout model. * Design and implement reusable Bazel rules, macros, toolchains, platforms, configuration patterns, and repository standards, while migrating embedded applications, libraries, generated code, firmware, cross\-compilation flows, and platform variants with validated build parity and reproducibility. * Integrate Bazel with enterprise CI/CD, testing, release, artifact, deployment, observability, security, and infrastructure workflows, and optimize the platform through caching, parallelism, reliability practices, documentation, training, legacy Make retirement, and continuous improvement. * Measure success through target repositories migrated with validated build and test parity; faster clean and incremental builds, CI queues, and developer feedback; increased reproducibility, approved hermetic\-toolchain adoption, cache effectiveness, and CI capacity; and lower build, pipeline, and flaky\-test rates. * Improve diagnosis and recovery time while ensuring complete artifact provenance, test evidence, and security\-policy compliance for releases, strong developer adoption, reduced support burden, and measurable productivity improvement. * Hold a bachelor’s degree in software engineering or have equivalent experience, along with 15 years of software development experience. * Bring a deep understanding of real\-time software architecture and experience shipping high\-quality, safety\-critical products in automotive, embedded, safety\-related, calibration, or systems\-engineering environments. * Demonstrate exceptional problem\-solving and analytical abilities, keen attention to detail, and the ability to manage multiple projects and priorities in fast\-paced, action\-oriented decision\-making environments. * Bring strong expertise building and maintaining production software systems, proficiency in Python and at least one additional engineering\-tooling language, and experience with AI\-assisted developer productivity, coding agents, code intelligence, knowledge retrieval, or workflow orchestration. Evaluate AI\-enabled engineering workflows using measurable quality, adoption, and productivity outcomes. * Key Deliverables: * Assess current Make\-based build, test, dependency, toolchain, and hardware workflows, then define a phased Bazel migration strategy and rollout model. * Design and implement reusable Bazel rules, macros, toolchains, platforms, configuration patterns, and repository standards for embedded software. * Migrate embedded applications, libraries, generated code, firmware, cross\-compilation flows, and platform variants while ensuring build parity and reproducibility. * Integrate Bazel with enterprise CI/CD, testing, release, artifact, deployment, observability, security, and infrastructure workflows. Optimize and operationalize the platform through caching, parallelism, reliability practices, documentation, training, legacy Make retirement, and continuous improvement. * * Target repositories migrated with validated build and test parity. * Reduced clean and incremental build time, CI queue time, and developer feedback time. * Increased reproducibility, approved hermetic\-toolchain adoption, cache effectiveness, and CI capacity. * Lower build, pipeline, and flaky\-test rates, with improved diagnosis and recovery time. * Complete artifact provenance, test evidence, and security\-policy compliance for releases. Strong developer adoption, reduced support burden, and measurable productivity improvement. * GM DOES NOT PROVIDE IMMIGRATION\-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. Work Location: Markham, ON, Canada Availability: Full time
Job Title: Data Scientist, Commercial Price Modelling Company: Aviva Job Category: Machine Learning Roles & Responsibilities: At Aviva Canada , we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most. In this role, you'll contribute to the full model lifecycle, from ideation and development through deployment, monitoring, and continuous improvement. You'll work on high\-impact initiatives such as claims prediction, customer journey optimization, pricing insights, and automation, partnering closely with business and technology teams. * Transform sophisticated datasets into meaningful conclusions \& recommendations. * Develop innovative solutions for pattern recognition using machine learning and statistical approaches. * Partner closely with Pricing and work on the data science projects end\-to\-end for Commercial P\&C Pricing, from project planning through data processing, model training, model acceptance, and post implementation monitoring. * Contribute to modelling best practices and improve the quality and reproducibility of the team’s work. * Maintenance of a growing set of data mining tools, frameworks \& approaches * Communicate practical recommendations based on insights/model results. * Support model monitoring and validation, including identifying performance deterioration, portfolio shifts, and emerging segment behavior. * A growth mindset with versatile skills and ability to work through problems from first principles. * A portfolio of projects that demonstrate your ability to draw inferences from data. This includes participation within the broader data science community, including Kaggle competitions or any personal projects with open data. * A can\-do teammate willing to roll up their sleeves and do whatever is needed to move projects forward. That means, at times you will wear different hats and be a project manager, developer, modeler and chief communicator of solutions. * Outstanding communication skills and ability to translate and communicate complex algorithms to non\-technical individuals. Someone who understands that it is not enough just to have a phenomenal algorithm but meaningful to build an agreement for the solution from different partners. * The best problems in the industry are yet to be articulated. We need someone who is creative, self\-motivated and can lead projects independently. Work Location: Markham, ON, Canada Availability: Full time
Job Title: Machine learning Engineer Company: Wix.com, Inc. Job Category: Machine Learning Roles & Responsibilities: Job Description As a Machine Learning Engineer, you'll design and implement scalable, high\-performance machine learning systems to support DeviantArt's vibrant online community. You'll play a key role in building innovative solutions that enhance user experiences and foster creativity within a high\-traffic environment. * Develop and improve algorithms for recommendations and classification to enhance user experiences * Implement and deploy reliable machine learning systems for an active online art community * Build end\-to\-end systems, from data ingestion to serving results in production * Stay up\-to\-date with developments in data and machine learning engineering, applying them to DeviantArt systems and goals The DeviantArt Artificial Intelligence team is part of DeviantArt, the largest online social network for artists and art enthusiasts. Founded in 2000 and part of Wix since 2017, DeviantArt empowers artists to exhibit, promote, and share their works with an enthusiastic, art\-centric community. With over 115 million registered users and tens of thousands of original art pieces uploaded daily, DeviantArt fosters creativity and community. The Artificial Intelligence team focuses on developing innovative solutions to enhance user experience, support artistic creativity, and ensure safe interactions within the platform. Work Location: Vancouver, BC, Canada Availability: Full time
Job Title: Applied Machine Learning Company: Ideogram Job Category: Machine Learning Roles & Responsibilities: The Opportunity As an Applied ML Engineer at Ideogram, you’ll bridge research and product – turning frontier generative models into production features across our first\-party app and API. You’ll experiment quickly, build rigorous evaluations and datasets, and partner with research, engineering, infra, while working directly/frequently with clients to ship reliable and scalable ML systems. You’ll fine\-tune and deploy models for creative use cases (text\-to\-image, image\-to\-text, image enhancement and editing, multimodal), set clear client success metrics (quality, latency, cost), and contribute to safety, monitoring, and reliability of systems. You’ll lead 0 to 1 projects that shape Applied ML enterprise practices at Ideogram, while delivering features that create delight and real value for our users. Work Location: Toronto, Ontario, Canada Availability: Full time
Job Title: Machine Learning Engineer Co-op Company: CIBC Job Category: Machine Learning Roles & Responsibilities: CIBC’s Enterprise AI Infrastructure \& ML Ops team is hiring a Machine Learning Engineer Co\-op. As an ML Engineer Co\-op, you will collaborate on the MLOps strategy, assist with adherence to enterprise governance, and support in the implementation of tooling and frameworks to enable secure, scalable, and repeatable AI/ML delivery across the bank. Success will be built on supporting technical activities to standardize capabilities and create a measurable impact in building influence with stakeholders. * Data Science Expertise: You will use your knowledge in Machine Learning to contribute towards the development of reproducible models. * MLOps: You will utilize your Python programming skills to refactor experimental notebooks into production grade Python modules using functional programming. You will assist with tasks related to the deployment of machine learning models and the maintenance of internal Python libraries * Champion Best Practices: You will adhere to the team’s code\-style, work\-flow patterns and project structure standards. You will participate in writing great documentation, practicing test\-driven\-development and properly annotating your code. Work Location: Toronto, ON, Canada Availability: Full time
Job Title: STAGE : Purchasing Data Scientist – AI Company: Stellantis Job Category: Machine Learning Roles & Responsibilities: Job ID: 2026\-19890 Career Area: Purchasing Position Type: Stage Location: Green Campus, Poissy, , FR Date Posted: October 27, 2026 Contexte et environnement de travail : Ce poste fera partie de l’organisation Global Purchasing Data \& AI, avec pour objectif de développer et de déployer à grande échelle les capacités d’Intelligence Artificielle au sein des Achats. L’équipe travaille en étroite collaboration avec les experts métier des Achats, les Data Analysts et les Ontology Engineers afin d’identifier les problématiques métier pour lesquelles l’IA peut améliorer la prise de décision, la productivité, l’automatisation et les résultats opérationnels. L’objectif de ce recrutement est de contribuer au développement, aux tests et à l’intégration de solutions d’intelligence artificielle, en exploitant les données des Achats et des technologies d’entreprise telles que Palantir AIP et Microsoft Copilot. Le poste est basé à Poissy, France. Après une période d’intégration sur site, vous pourrez effectuer une partie de vos missions en télétravail. La répartition entre présence sur site et travail à distance sera déterminée en fonction des besoins du service et de l’organisation, en accord avec votre responsable. Aucun déplacement n’est prévu pour ce poste. Vos missions Au cours de cette expérience, vos principales missions seront les suivantes : – Collaborer avec les experts Achats afin d’identifier les problématiques métier et les opportunités pouvant être adressées grâce à l’IA, au Machine Learning, à l’IA Générative et à l’analytique avancée. – Explorer des données Achats structurées et non structurées afin de détecter des tendances, des schémas et des opportunités de solutions pilotées par l’IA. – Participer au développement, aux tests et à l’évaluation de modèles d’IA, de prototypes, d’agents intelligents et d’applications intégrant l’intelligence artificielle. – Développer des solutions en Python et utiliser les technologies IA/ML appropriées, notamment les fonctionnalités disponibles dans Palantir AIP. – Identifier des opportunités pour intégrer des capacités d’IA aux tableaux de bord Palantir, aux produits de données existants et aux processus métiers des Achats. – Collaborer avec les Ontology Engineers afin d’exploiter les objets de l’ontologie Achats et les données connectées comme fondement des solutions d’IA. – Travailler avec les Data Analysts et les utilisateurs métiers pour s’assurer que les solutions d’IA répondent à des besoins réels et s’intègrent efficacement à l’expérience utilisateur. – Participer à l’expérimentation de technologies telles que Palantir AIP et Microsoft Copilot et évaluer leurs cas d’usage potentiels pour les Achats. – Documenter les méthodologies, hypothèses, tests et résultats, puis communiquer les conclusions aux publics techniques et métiers. EOE/Disability/Veteran Our benefits reflects the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life. As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired. We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected. Work Location: Green, ON, Canada Availability: Full time
Job Title: Applied Machine Learning Scientist Company: Velan Inc. Job Category: Machine Learning Roles & Responsibilities: Velan is a global leader in the design and manufacture of industrial valves. Founded in Montreal, the company is recognized for the quality of its products, its technical expertise, and its human and collaborative corporate culture. As an Applied Machine Learning Scientist, you will develop, deploy, and continuously improve scalable AI/ML solutions that solve meaningful business problems and improve decision\-making, workflow efficiency, and process automation across the organization. Working at the intersection of data science, software engineering, and MLOps, you will transform prototypes into reliable production systems, ensure models remain accurate and trustworthy over time, and collaborate with cross\-functional stakeholders to translate business needs into practical, high\-quality technical solutions. What We Offer Responsibilities * Design, develop, and deploy machine learning models that address high\-value business problems and support scalable process automation. * Build and maintain end\-to\-end ML pipelines, including data ingestion, feature engineering, training, evaluation, deployment, inference, and monitoring. * Convert proof\-of\-concept models into production\-grade solutions that are scalable, robust, performant, and reliable across changing data conditions. * Support the development of autonomous and multi\-agent systems that can reason, plan, execute tasks, and integrate with enterprise tools, databases, APIs, and services. * Monitor deployed models for performance degradation, data drift, bias, and fairness, and retrain or recalibrate models when needed. * Partner with domain experts, engineers, and business stakeholders to define requirements, frame problems, translate objectives into technical solutions, and communicate results clearly. * Apply software engineering best practices, including version control, code review, automated testing, CI/CD, containerization, and orchestration. * Contribute to ML system architecture and technology decisions, ensuring alignment with the company’s data platforms, infrastructure, and technology standards. * Promote strong data and model governance through clear documentation, reproducibility, explainability, and auditability of ML solutions. Qualifications Work Location: Saint-Laurent, QC, Canada Availability: Full time
Job Title: Machine Learning Research Intern Company: M31 AI Job Category: Machine Learning Roles & Responsibilities: We’re seeking a full\-time Machine Learning Research Intern to support biomedical AI research involving clinical EHR (labs, flowsheets, clinical notes) and imaging data (histopathology and radiology). The role will involve building large\-scale foundation models and agentic systems. You’ll be working with a diverse team of AI researchers, clinicians, and computational biologists to explore how deep learning can advance personalized medicine and healthcare for patients.This position is ideal for someone passionate about biomedical AI, multi\-modal data, and collaborative, high\-impact research. * Build, review and maintain reproducible and modular codebases for training and running experiments with deep learning models * Conduct literature search to develop detailed in\-depth technical summaries of SOTA architectures, pretraining objectives and other methodologies * Collaborate with research partners to collect, preprocess, and harmonize structured and unstructured clinical data, pathology and radiology images. * Work closely with data scientists and clinicians to ensure scientific and clinical relevance * Discover, validate and implement new AI tools to improve workflow efficiency * Document and maintain reproducible workflows using Git, Python, and cloud\-based tools * Contribute to publications, internal reports, and presentations summarizing key findings * Create clear, compelling presentations and visualizations that translate highly technical results for both clinical and technical audiences * Be part of a leading biomedical imaging AI company recognized for its foundational work in universal segmentation * Collaborate with top academic and hospital research teams on cutting\-edge multi\-modal AI projects * Gain exposure to large, high\-quality datasets spanning medical imaging and clinical data * Work in a mission\-driven environment that bridges scientific research and real\-world healthcare impact * Enjoy flexible work arrangements, mentorship, and opportunities for authorship and recognition * Completed master’s or PhD (or equivalent experience) in Engineering, Computer Science, Mathematics, Biomedical Engineering, Computational Biology or a related field * Strong programming experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, MONAI) * Strong understanding of deep learning architectures (Transformers) and time\-to\-event analysis * Background in analyzing biomedical or life science data * Understanding of at least one of the following domains: * Clinical data (EHR, laboratory results, disease outcomes) * Medical imaging (MRI, CT, pathology, etc.) * Experience with data management, reproducibility, and collaborative code development * Excellent problem\-solving, communication, and teamwork skills M31 Biomedical AI is a biomedical imaging company developing foundation models for medical image segmentation and analysis. Our technology enables universal understanding of medical images across modalities and institutions.We’re now collaborating with leading research partners to extend this vision beyond imaging to include multi\-modal clinical data, in order to advance patient healthcare, understand complex diseases and improve therapeutic discovery. Work Location: Toronto, Ontario, Canada Availability: Full time
