Machine Learning Software Engineer (m/f/d)
At BIOspire, we're pioneering new frontiers in software applications for medical/cellular analysis as a research-driven university spin-off. Specializing in data analysis and optical systems, our technology allows for extraction of insights from clinical data that wasn’t possible before. Our multidisciplinary team of experts is pushing the boundaries in data analysis, image acquisition, optics, and mechanical design. Join us to make a meaningful impact in medical technology and be at the forefront of artificial intelligence applications in medical analysis. With BIOspire, you'll contribute to shaping the future of medical research.
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To build our product we are searching for:
Machine Learning Software Engineer (m/f/d)
What will be your responsibilities:
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Design, develop, and deploy machine learning models and algorithms specialized in the processing and analysis of clinical microscopic images.
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Perform data augmentation, preprocessing, and validation to ensure the accuracy and reliability of the machine learning models.
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Stay updated on the latest advancements in machine learning and image processing technologies and methodologies to continuously improve our solutions.
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Conduct rigorous testing and validation of models to meet regulatory standards and ensure they are ready for clinical deployment.
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Document and present model development processes, findings, and insights to both technical and non-technical stakeholders.
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By joining BIOspire, you will have the unique opportunity to push the boundaries of cellular analysis technology and make a significant impact in the field of medical technology.
What you should bring to the table:
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Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Electrical Engineering, or a related field. A PhD is a plus.
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Proficient in programming languages such as Python and ML libraries/frameworks (e.g., TensorFlow, PyTorch).
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Experience with deep learning, computer vision, and image processing techniques.
What we offer:
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Career Advancement: With our focus on innovation and research, you'll have ample opportunities for professional development, including workshops, seminars, and potential for career progression within the organization.
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Collaborative Environment: Work alongside a team of experts in a multidisciplinary setting, fostering a culture of continuous learning and innovation.
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Funding and Resources: Benefit from the financial backing and resources that come with being an award-winning university spin-off, including state-of-the-art labs and equipment.
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Networking Opportunities: Gain access to a wide network of professionals, researchers, and academics in the field, enhancing your professional connections.
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Flexible Work Arrangements: We understand the importance of work-life balance and offer flexible working conditions to accommodate your needs.
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Intellectual Challenge: Engage in intellectually stimulating work that aims to solve real-world problems in the medical field.
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Equity Options: As a growing spin-off, there may be opportunities for equity options, allowing you to share in the long-term success of the company.
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We aim to increase the proportion of female academics and employees; applications from women are expressly welcomed. Persons with disabilities will be given special consideration if equally qualified. By submitting your application, you consent to your personal data being stored, processed and forwarded to the departments involved in the application process for the purposes of the application. You can find more information on data protection at the following link: