Image Analysis Engineer - Ann Arbor, MI
SartoriusAbout the role
What you will accomplish together with us:
- Develop and implement image analysis and computer vision algorithms with a focus on robustness, scalability, and product integration.
- Design, train, and validate machine learning and deep learning models for image-based tasks (e.g., classification, segmentation, detection, tracking, quality assessment).
- Define and refine requirements for image processing and image-based analytics, including performance metrics and validation criteria.
- Write clear, maintainable, high-quality code for image processing and model training and inference, optimized for large image datasets.
- Collaborate with software engineers to integrate algorithms and AI models into user-friendly, production-grade software products.
- Work with product development, product management, and research teams to generate biological insight from image data.
- Support technical support, application specialists, and R&D teams in understanding image analysis algorithms behavior, limitations, and appropriate use.
- Mentor and support junior team members in best practices for image analysis, machine learning, and software engineering.
- Lead design and development of image analysis algorithms and AI models within product development projects
- Stay current with advances in computer vision, bioimage analysis, and AI model architectures for imaging, and apply them to real-world problems.
What will convince us:
- Ph.D. degree in Computer Science, Computer Engineering, Biomedical Engineering, Data science, Applied Mathematics, or related field and 2+ years of experience developing image processing and computer vision algorithms.
- Or Master’s degree in one of the above fields and 5+ years of experience in developing image processing / computer vision algorithms.
- Strong analytical and mathematical abilities.
- Solid foundation in classical image processing (denoising, enhancement, feature extraction, segmentation).
- Experience with classical ML on image-derived features (e.g., random forests, gradient boosting, SVMs) and deep learning for images (e.g., CNNs, autoencoders, vision transformers).
- Experience with image analysis tools (e.g., OpenCV, scikit-image, ImageJ, CellProfiler)
- Proficiency with tools commonly used for developing and implementing image analysis algorithms (e.g., Python, C++, MATLAB, etc.).
- Strong software engineering practices (version control, code review, testing, documentation).
- Familiarity with cell microscopy and cell biology (preferred).
- Strong communication skills and ability to work effectively in a multi-disciplinary team.
- Strong personal initiative and a results-oriented mindset, with attention to reproducibility and quality.
- Identification with our core values: Sustainability, Openness, Enjoyment
What We Offer
As a growing global life science company, with our stock listed on the German DAX and TecDAX , Sartorius offers a wide range of benefits:
Personal and Professional Development: Mentoring, leadership programs, internal seminar offerings
Worklife Balance: Paid vacation, sick time, corporate holidays and community service day; as well as flexible work schedules
Making an Impact Right from the Start: Comprehensive onboarding, including a virtual online platform
Welcoming Culture: Mutual support, team spirit and international collaboration; communities on numerous topics such as “Coaching”, “Agile Working” and a “Businesswomen’s Network”
Health & Well Being: Wide selection of health and well-being support such as a variety of medical plans to choose from, dental, vision, EAP, and other wellness programs.
Intelligent Working Environment: Working in smart buildings with the latest technology and equipment.
Retirement Savings Plan: 401 k (with generous company match)
Flexible Spending: HSA, FSA (dependent care & healthcare spending), Transportation Commuter Account
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