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StrykerSource d’offres vérifiée

Staff Engineer, Computer Vision

Offre en anglais

The Staff Engineer will design, develop, and integrate advanced computer vision and machine learning solutions to support clinical decision-making. They will also provide technical guidance to colleagues and collaborate with cross-functional teams to deliver impactful medical technology products.

  • Sur place
  • Burnaby, BC
  • Publié 7 août 2026
  • 1 poste

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Résumé du poste

Work Flexibility: Onsite It's Time to Join Stryker! Who We Want At Stryker Endoscopy, our Computer Vision team develops advanced image analysis technologies that support clinical decision-making, improve visualization, reduce surgeon workload, and ultimately improve patient outcomes. We are building next-generation AI and computer vision capabilities that directly impact patient care and help shape the future of medical technology. We are seeking a Staff Computer Vision Engineer to provide technical guidance and contribute to the design and development of advanced computer vision and machine learning technologies. In this role, you will contribute to technical direction, help design scalable AI-enabled systems, and apply modern AI/ML techniques to impactful products and platforms. This is an opportunity to apply your expertise to meaningful technology that directly impacts surgeons and patients worldwide. What You Will Do Design, develop, train, and integrate advanced computer vision and machine learning solutions. Train, evaluate, and iterate computer vision models using real-world image and video data. Create detailed designs and implement software systems, components, and algorithms. Design and execute technical experiments and proof-of-concept demonstrations. Provide technical guidance to colleagues and contribute to architecture and design decisions. Contribute to the design of scalable AI-enabled systems and inform technical tradeoff discussions. Translate customer and business needs into technical solutions and product requirements. Evaluate and integrate emerging technologies, frameworks, and tools to accelerate innovation. Participate in design reviews, code reviews, and the application of engineering best practices. Partner with R&D, Product, Clinical, Quality, Regulatory, and cross-functional stakeholders to deliver impactful solutions. Influence technical decisions within assigned projects and partner with senior technical leaders on broader initiatives. Contribute to innovation through technical contributions, invention disclosures, and potential patent activity. Collaborate with global engineering teams across North America and India. What You Need Bachelor’s degree in Software Engineering, Computer Science, Artificial Intelligence, or related discipline 4+ years of related work experience. Preferred Qualifications: Experience developing and deploying computer vision and/or AI/ML solutions in real-world environments. Experience training, evaluating, and improving computer vision or machine learning models. Experience developing software solutions for complex technical environments. Experience applying machine learning to image or video analysis applications. Experience with frameworks such as OpenCV, PyTorch, TensorFlow, or similar technologies. Experience with Python and/or C++, with CUDA as a plus. Excellent communication and collaboration skills with the ability to influence across technical and cross-functional teams. Desired Qualifications: Experience with medical imaging. Experience with cloud AI/ML environments, model training pipelines, or MLOps workflows. Experience working with large-scale datasets and model evaluation strategies. Experience in regulated industries such as healthcare, medical devices, aerospace, robotics, automotive, or other safety-critical environments. Experience supporting intellectual property development through patents or invention disclosures. Advanced degree in Computer Science, Computer Vision, Artificial Intelligence, or related field. $105,300 - $140,450 CAD Annual Travel Percentage: 10%

Ce que vous ferez

The Staff Engineer will design, develop, and integrate advanced computer vision and machine learning solutions to support clinical decision-making. They will also provide technical guidance to colleagues and collaborate with cross-functional teams to deliver impactful medical technology products.

Exigences

Candidates must have a bachelor's degree in a relevant engineering or science discipline and at least 4 years of related work experience. Proficiency in Python or C++ and experience with computer vision frameworks like OpenCV, PyTorch, or TensorFlow are required.

Compétences indiquées

  • Analyse de donnéesSouhaitée
  • Apprentissage automatiqueSouhaitée
  • C++Souhaitée
  • PythonSouhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Computer Vision
  • Machine Learning
  • Python
  • C++
  • OpenCV
  • PyTorch
  • TensorFlow
  • CUDA
  • Software Engineering
  • Image Analysis
  • Algorithm Design
  • MLOps
  • Medical Imaging
  • System Architecture
  • Data Analysis
  • Scalability Design
  • Influencing Skills
  • Software Solutions
  • Pipelines
  • MLOps (Machine Learning Operations)
  • Influencing Without Authority
  • Product Requirements
  • Workflow Management
  • Emerging Technologies
  • Medical Devices
  • Artificial Intelligence
  • Algorithms
  • C++ (Programming Language)
  • Decision Making
  • Code Review
  • Communication
  • Computer Science
  • Nvidia CUDA
  • Endoscopy
  • Health Technology
  • Scalability
  • Innovation
  • Intellectual Property
  • Python (Programming Language)
  • Patents
  • Robotics
  • Software Systems
  • Collaboration
  • Demonstration Skills
  • PyTorch (Machine Learning Library)
  • Applied Machine Learning

Domaines d’emploi

  • Technology
  • Engineering
  • Software
  • Healthcare
  • Science & Research
  • Computer Vision Engineer
  • Software Developers

Renseignements supplémentaires

Formation minimale
Baccalauréat
Expérience minimale
2+ ans
Langue de l’offre
anglais
Heures de travail
40 heures par semaine