1 day ago
Base Salary
$168k - $312k/yr
Responsibilities
- Design and develop scalable AI/ML scientific web applications and backend pipelines for high-throughput scientific imaging data.
- Build, evaluate, and fine-tune computer vision and deep learning models for segmentation, classification, phenotypic profiling, feature extraction, and image registration.
- Create benchmark datasets and tools to measure model quality, robustness, and drift.
- Develop cloud infrastructure and data pipelines for large-scale multidimensional imaging datasets.
- Optimize GPU memory usage, batching, and inference throughput for image pipelines and neural network models.
- Partner with product managers, bioimage analysts, research scientists, and scientific collaborators to translate workflows into technical specifications.
- Contribute to architecture, code reviews, engineering processes, and MLOps practices.
Requirements
- PhD, Master's degree with 3–5 years of experience, or Bachelor's degree with 4–7 years of experience in computer science, biomedical engineering, electrical engineering, computational biology, or a related technical field.
- Strong proficiency with PyTorch, TensorFlow, OpenCV, MONAI, Scikit-Image, torchvision, Napari, or Bio-Formats.
- Deep expertise in computer vision algorithms including CNNs, Vision Transformers, UNet, SAM/Segment Anything, and Cellpose.
- Expertise in machine learning theory, image processing, object detection, instance segmentation, and quantitative image analysis.
- Experience with high-dimensional scientific imaging such as microscopy, digital pathology, high-content screening, or multiplexed imaging.
- Knowledge of GPU acceleration, parallel computing, CUDA, and machine learning performance optimization.
- Experience with Kubernetes, databases, object storage, and cloud-native architectures, preferably AWS.
- Understanding of software engineering best practices, CI/CD, and MLOps principles.
- Preferred qualifications include multimodal data fusion, biomedical or pharmaceutical research experience, workflow automation, GenAI, Vision-Language Models, or AI agents.
- Strong communication, collaboration, and continuous-learning skills.
Benefits
- Onsite work at the South San Francisco campus is expected at least three days per week.
- Relocation assistance is not available.
- The position includes access to the benefits detailed by Genentech.
- The employer provides equal opportunity employment and applicant disability accommodations.
Tech Stack
Categories
About Roche
Roche is a Swiss healthcare company that develops and sells prescription pharmaceuticals and in vitro diagnostic systems for hospitals, laboratories, and clinicians. Its business spans two core divisions—Pharmaceuticals and Diagnostics—with strengths in oncology, immunology, neuroscience, infectious diseases, and diabetes care. Founded in 1896 and headquartered in Basel, Switzerland, Roche also advances personalized healthcare by pairing therapies with companion diagnostics.