What are the responsibilities and job description for the Staff Machine Learning Scientist position at Ruby Robotics?
ABOUT US
Started by Stanford/MIT serial entrepreneurs, Ruby Robotics is maximizing patient outcomes with tissue insights at the point of care. Using custom-built hardware and AI, our platform optimizes biopsy and surgical procedure workflow while delivering disease analytics early in the patient’s journey. This facilitates faster, more informed treatment decisions for patients as well as improved staffing and operational workflow for hospitals. Funded by healthcare and deep tech VCs, our team is lean, fast, and works intensely towards the goal of improving cancer patient care.
ABOUT THIS OPPORTUNITY
We are looking for a Staff Machine Learning Scientist to lead projects generating novel medical insights with a unique dataset of tumor pathology images. These insights will play a key role in guiding patient treatment pathways and optimizing patient care outcomes. The ideal candidate will have a proven track record of leading efforts to build and deploy cutting-edge deep learning models on large-scale image data. Ability to work in person at our San Carlos, CA office is strongly preferred.
KEY RESPONSIBILITIES
- Independently lead projects to conceive, develop, and implement AI/ML approaches to extract novel insights from large-scale microscopy image data sets
- Perform analysis of neural networks, propose and execute experiments to improve key performance metrics
- Update and improve primary machine learning models as more data is generated
- Support software infrastructure and data engineering required to store, annotate, train, and test on large pathology image sets
- Implement semi-supervised and self-supervised methods to reduce image annotation burden
- Collaborate with physicians and product teams to ensure clinical relevance, robustness, and usability of models
- Shape external collaborations to define research questions, evaluate project feasibility, and deliver impactful solutions
- Stay up to date with the latest pathology CV/ML literature, use this to inform research & product direction
- Optimize and validate models for integration into production systems, ensuring performance in real-world clinical settings
- Develop applications to be deployed and scaled
- Support hiring process for additional Ruby CV/ML team members
- Work closely with a multidisciplinary engineering team and company leadership to deliver on key technical milestones
QUALIFICATIONS
- PhD or Master’s degree in Computer Science or related field with a focus on ML/CV
- 5 years of industry experience developing and deploying ML models or 2 years industry experience with PhD
- Previously deployed CV/ML projects to users/customers
- Strong background in deep learning for computer vision
- Expert knowledge of the latest machine learning approaches for image analysis
- Able to read, understand and implement the latest algorithms from research papers
- Able to implement and experiment with own architecture ideas
- Fluent in Python and experience with ML frameworks and models (Pytorch, Yolo, etc.)
- Experience with distributed training and cloud-based ML workflows
- Experience with large-scale image datasets, preferably in digital pathology or medical imaging
- Experience deploying ML models as real-time APIs with low latency
- Works well in a small, agile team
PREFERRED QUALIFICATIONS
- Experience with pathology whole-slide images or biomedical image analysis
- Familiarity with multimodal data integration (imaging clinical / molecular data)
- Expertise in industrial-scale ML engineering, including model deployment for real-time inference, GPU/throughput optimization (e.g., TensorRT, ONNX Runtime, mixed precision), and building scalable, production-ready ML pipelines with MLOps best practices
- Familiarity with containerized deployments (Docker, Kubernetes) and scaling ML systems in production
- Experience with CI/CD and MLOps pipelines for automated model deployment and monitoring
- Track record of leading CV/ML projects from conception through deployment
- Published research in the CV/ML domain
WHY JOIN US
- Opportunity to make a real-world impact in healthcare
- Work with a passionate and innovative team at the forefront of digital pathology and AI-powered diagnostics
- Competitive salary, equity, and comprehensive benefits package
- A dynamic and collaborative work environment with opportunities for growth and leadership