About the Role:

We are looking for a highly motivated Computer Vision and Machine Learning Engineer with a strong background in medical imaging and advanced algorithm development. In this role, you will contribute to building next-generation diagnostic solutions, leveraging your expertise in image analysis, machine learning, and software development. You will play a key role in developing scalable, production-ready algorithms while ensuring compliance with industry regulations. If you thrive in fast-paced, high-impact environments and are passionate about advancing healthcare technology, we’d love to meet you.

Key Responsibilities:

• Design, develop, and implement advanced algorithms for image analysis, pattern recognition, and data classification in medical diagnostics.
• Apply deep expertise in microscopy, immunofluorescence, IHC, and cell image analysis to build innovative solutions.
• Leverage data visualization, mining, and interpretation techniques to extract meaningful insights from complex datasets.
• Ensure solutions meet regulatory requirements, including FDA, CLIA, and other diagnostic compliance standards.
• Develop and maintain robust, scalable software using Python, with strong adherence to object-oriented design principles and software architecture best practices.
• Drive the integration, testing, and deployment of software in production environments.
• Prepare comprehensive technical documentation and progress reports for internal teams and stakeholders.
• Collaborate cross-functionally with research, regulatory, engineering, and product teams to ensure timely delivery of project milestones.
• Operate independently with minimal supervision, effectively managing tasks and priorities in a fast-paced setting.
• Maintain a strong sense of urgency and ownership to meet project deadlines and deliver impactful results.

Qualifications:

• Master’s degree in Electrical Engineering, Computer Science, or related field, with a focus on Computer Vision and Machine Learning; PhD strongly preferred.
• 5+ years of industry experience (or 3+ years with PhD) in image analysis, machine learning, or pattern recognition.
• Practical experience with medical imaging techniques such as immunofluorescence, IHC, microscopy, and cell analysis.
• Solid understanding of regulatory environments (FDA, CLIA, or equivalent).
• Proficient in Python for algorithm development and software engineering.
• Strong foundation in software design principles, OOP, design patterns, and scalable system architecture.
• Experience with integration and testing in production-grade software environments.
• Excellent technical writing skills, with the ability to produce clear, concise reports and documentation.
• Strong interpersonal and communication skills, with a collaborative mindset.
• Ability to manage multiple priorities in a dynamic environment, delivering high-quality results under tight deadlines.