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.
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
Required Qualifications
● PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
● Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
● Expert proficiency in Python and PyTorch and other scientific computing environments a plus
● Strong mathematical foundation in linear algebra, probability, and optimization
● Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
● Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
● Experience with feature search, data balancing, and data curation pipelines.
● Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
● Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
● Extensive use of AI tools for coding, optimization, and ideation
Preferred Qualifications
● Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
● Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
● Background in generative models and fine-tuning of foundation models
● Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
● Experience with hosting computer vision model inference on NVIDIA DGX Spark.
● Understanding of FDA regulatory requirements for AI/ML in medical devices
● Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
● Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility
This is a remote role in US or Canada
PictorLabs, Inc. is a digital pathology company developing an AI-powered virtual staining platform to revolutionize histopathology and accelerate clinical research with the goal of improving patient outcomes. Led by a team with deep expertise in bioengineering, artificial intelligence, and health-tech product development, the Company is reimagining existing histopathology workflows, accelerating clinical and diagnostic results, and improving process sustainability. From a single unstained tissue sample, PictorLabs’ proprietary platform can produce an unlimited number of virtual stains that are indistinguishable from analogous chemical stains. PictorLabs is developing products that replicate standard of care stains and is creating specialized virtual biomarker stains for indications in which there is a large demand for novel and accelerated diagnostic tests. To learn more, visit https://pictorlabs.ai/
Salary
$165,000 - $225,000
Location
Remote
Total raised
$48.8M
Last stage
Series B
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.