Medical Image Segmentation Data Jobs

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Senior AI Engineer- Imaging

Genentech San Francisco, CA

San Francisco, CA

Today

$168k - $312k/yr Full time Backend Developer Ai/ml Data Engineering Artificial Intelligence

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Job Description

Genentech is hiring an imaging-focused AI/ML Engineer to build and continuously improve scalable computer vision systems for large-scale scientific imaging data.

Responsibilities

Design, develop, and test robust, scalable, and maintainable AI/ML scientific web applications and backend pipelines for high-throughput imaging processing and visualization.
Build, evaluate, and fine-tune state-of-the-art computer vision and deep learning models for scientific imaging use cases such as cell segmentation, cell classification, phenotypic profiling, tissue segmentation, feature extraction, and image registration.
Create tools to evaluate AI/ML and vision model performance, define benchmark datasets, and quantify model quality, robustness, and drift over time.
Partner with product managers, bioimage analysts, and research scientists to understand user workflows, shape requirements, and translate scientific imaging needs into technical specifications.
Develop and maintain scalable cloud infrastructure and data pipelines to collect, structure, store, and enable access to large-scale multi-dimensional imaging datasets including OME-TIFF, Zarr, and HDF5.
Optimize GPU memory usage, batching, and inference throughput for large image pipelines and deep neural networks.
Participate in architectural decisions, code reviews, and the evolution of engineering and MLOps practices for computer vision systems.
Span the full stack and contribute beyond core expertise when needed.
Stay current on emerging computer vision technologies and best practices, and support a culture of continuous learning and collaboration.

Requirements

PhD, Master’s (3–5 years), or Bachelor’s (4–7 years) in a related technical field with focus on machine learning engineering and computer vision (Computer Science, Biomedical Engineering, Electrical Engineering, Computational Biology, or similar).
Strong proficiency with AI/ML frameworks and computer vision libraries, including PyTorch, TensorFlow, OpenCV, MONAI, Scikit-Image, torchvision, Napari, and/or Bio-Formats.
Deep expertise in computer vision algorithms such as CNNs, Vision Transformers, UNet, SAM (Segment Anything), and Cellpose.
Expertise in machine learning theory and image processing fundamentals including object detection, instance segmentation, and quantitative image analysis.
Demonstrated experience with high-dimensional scientific imaging data (for example: fluorescence/brightfield microscopy, digital pathology whole slide images, high-content screening, multiplexed imaging).
Strong knowledge of GPU acceleration and parallel computing, including CUDA and ML performance optimization for large image datasets.
Experience with Kubernetes, relational databases, NoSQL databases, object storage, and cloud-native architectures in public clouds (ideally AWS).
Proven software engineering best practices, including CI/CD and MLOps principles.
Excellent communication skills and ability to build trusted partnerships with scientific collaborators and cross-functional teams.
Ability to rapidly learn new technologies, domain knowledge, and programming languages with a focus on continuous learning.

Technologies

PyTorch, TensorFlow, OpenCV, MONAI, Scikit-Image, torchvision, Napari, Bio-Formats
CNNs, Vision Transformers, UNet, SAM/Segment Anything, Cellpose
CUDA, Kubernetes, AWS
OME-TIFF, Zarr, HDF5

Preferred Qualifications

Experience with multi-modal data fusion combining scientific imaging with genomics, transcriptomics, or clinical tabular data.
Experience working directly with biomedical scientists or in a pharma/biotech research environment.
Experience with workflow automation, GenAI, Vision-Language Models, and/or AI agents.

Onsite Presence

Onsite presence on the South San Francisco campus expected at least 3 days per week.

Relocation Assistance

Relocation assistance is not available for this posting.

Compensation

Expected salary range: $168,100 - $312,300 annually (San Francisco, CA primary location).
Open to SE6 and SE7 levels; final leveling determined after the interview process.
A discretionary annual bonus may be available based on individual and Company performance.
Actual pay determined based on experience, qualifications, geographic location, and other factors permitted by law.

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