> Markdown version of [/jobs/ext/2986604-senior-machine-learning-computer-vision-engineer](https://www.wearedevelopers.com/jobs/ext/2986604-senior-machine-learning-computer-vision-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning & Computer Vision Engineer - **Company:** Danaher Corporation - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $111,500.0 - $133,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, C++ (Programming Language), Code Review, Image Analysis, DevOps, Imaging Technology, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Open Source Technology, Pair Programming, Performance Tuning, Tensorflow, Software Engineering, Software Organization, Google Cloud, Pytorch, Deep Learning, Parallel Computation, Reliability of Systems, Convolutional Neural Networks, Git, Information Technology, Low Latency, Data Management, Software Version Control - **Published:** September 18, 2026 - **Apply:** https://dejobs.org/x/x/2B17FEAA040A4CDA86C679AAB6791E22/job/ ## About the Role * Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or Ph.D. preferred. * Experience: 7+ years of professional software development experience, with a strong focus on industrial application development. Proven expertise in developing machine learning and computer vision solutions, preferably in the life sciences or a related field. Demonstrated experience in performance optimization techniques, including the use of GPU acceleration and parallel processing. * Technical Skills: Proficiency in programming languages such as Python and C/C++. Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV). Strong understanding of computer vision algorithms and image analysis techniques. Expertise in optimizing code for performance and scalability in high-demand industrial applications. Familiarity with software development best practices, version control systems (e.g., Git), and agile methodologies. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. * Domain Knowledge: Understanding of life science imaging techniques (e.g., microscopy, medical imaging, high-content screening) and the associated data challenges. Knowledge of regulatory standards and data privacy requirements in the life sciences is an advantage. * Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities to work effectively with cross-disciplinary teams. Ability to manage multiple projects concurrently and deliver high-quality results under tight deadlines. It would be a plus if you also possess previous experience in: * Experience in deploying machine learning models in production environments. * Publications or contributions to open-source projects in computer vision or machine learning. * Familiarity with DevOps practices and CI/CD pipelines. ## Description * Software Development & Architecture: Design, develop, and maintain high-performance machine learning and computer vision applications tailored for life science imaging challenges. Architect robust, scalable, and maintainable software systems that integrate seamlessly with existing industrial workflows. Collaborate with cross-functional teams, including data scientists, bioinformaticians, and domain experts, to translate research prototypes into production-ready systems. * Machine Learning & Computer Vision: Develop and implement state-of-the-art algorithms (e.g., convolutional neural networks, object detection, segmentation) to process and analyze biological image data. Optimize existing machine learning models and computer vision pipelines for performance, accuracy, and scalability. Stay current with the latest research and advancements in computer vision, deep learning, and AI as they relate to life sciences. * Performance Optimization: Identify performance bottlenecks in software and implement optimization strategies to enhance processing speed and efficiency. Leverage parallel computing, GPU acceleration, and efficient data management techniques to ensure high throughput and low latency. Conduct rigorous testing and benchmarking to validate performance improvements and ensure software reliability in industrial environments. * Industrial Application Development: Ensure the software meets industrial standards for reliability, security, and compliance with regulatory requirements specific to the life science domain. Develop comprehensive documentation, including technical specifications, user guides, and maintenance procedures. Participate in code reviews, pair programming, and agile development practices to maintain high code quality and efficient development cycles. * Collaboration: Work closely with research teams and other stakeholders to understand user requirements and translate them into technical solutions. Contribute to a culture of continuous improvement by sharing best practices, tools, and techniques across the team. ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Unboxing the DeepFace](https://www.wearedevelopers.com/videos/335-unboxing-the-deepface) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)