Computational Imaging Engineer Mango is seeking a Computational Imaging Engineer to take technical ownership of our optical systems and imaging pipeline, working closely with the software, microbiology, and hardware teams. This is a high-impact, cross-functional role at the intersection of optics, imaging hardware, and computer vision, with significant opportunities for technical leadership as the company scales. Mango is a new type of microscope for rapid bioburden testing. The ideal candidate has strong industry experience applying convolutional neural networks (CNNs) to image processing problems—preferably in domains like microscopy, biomedical imaging, or other high-complexity visual data systems. Additionally, candidates should have hands-on exposure to optical hardware, such as hyperspectral imaging systems, microscopy platforms, or custom imaging setups. Prior work with lensless or computational imaging systems is especially valuable.
Key Responsibilities:- Own and evolve Mango's imaging stack, including imaging hardware and computational reconstruction
- Develop and deploy CNN-based models for image enhancement, reconstruction, and classification
- Collaborate with software, microbiology, and hardware teams to design imaging workflows that support experimental needs
- Design, prototype, and validate custom imaging systems suited to our platform (including lensless imaging)
- Guide decisions on image quality, signal processing, and hardware/software co-design
- Establish best practices for reproducibility, quality control, and calibration in imaging
Qualifications:- 3+ years of industry experience applying CNNs to image processing tasks
- Experience working with microscopy, medical imaging, or other high-resolution imaging systems
- Exposure to optical systems design (e.g., hyperspectral, lensless, or computational imaging)
- Fluency in Python and PyTorchStrong cross-disciplinary communication skills; ability to work closely with microbiologists and engineers
- Passion for solving real-world problems with end-to-end system thinking
- Prior work in a fast-paced startup or product-focused R&D environment
Preferred Qualifications:- Experience with inverse problems or physics-informed machine learning
- Familiarity with hardware/software integration
- If you're excited about owning a critical technical domain and building novel imaging systems that bridge science and engineering, we'd love to hear from you.
Mango is a new type of microscope. Our innovative approach enables us to grow microbes and observe their growth in real time. Located in Los Angeles, our 15-person team combines expertise in business, mechanical engineering, bioengineering, and software development. We've honed our skills at various startups, including Snapchat, and now we're focused on turning this groundbreaking idea into a practical tool for pharmaceutical manufacturing. If you're looking for a challenge and want to contribute to a project that could change the way we view the microscopic world, we'd love to hear from you.$150,000 - $200,000 per year
