About the role
About the Role
We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor's virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Location: Remote — US or Canada
Key Responsibilities
Research & Algorithm Development
- 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
- Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs' product roadmap
Collaboration
- Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
- Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
- Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
- Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
- Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches