Senior Machine Learning Engineer
Core
Design and implement computer vision and deep learning algorithms for virtual staining and digital pathology applications, focusing on representation-learning and generative modeling.
Role type
Senior IC machine-learning engineer (computer vision & generative models)
Builds
Production-ready ML models for virtual staining and digital pathology
Domain
Healthcare / Digital Pathology / Computer Vision
Deliverable
production ML models
Required skills
Vision Transformers, Diffusion Models, GANs, image-to-image translation, image enhancement, denoising, semantic segmentation, latent space representation
Preferred skills
PhD in Computer Science, Electrical Engineering, or related field
Technologies
Vision Transformers, Diffusion Models, GANs
Responsibilities
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications; Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements; Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks; Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges; Explore image representation in latent space for efficient, high-fidelity virtual staining; Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
